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overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Navigation</h1><div class="u-tcGrayDark">40,269 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Navigation</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Navigation">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Navigation/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Navigation/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Navigation/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Navigation">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_2202302" data-work_id="2202302" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/2202302/Concepts_of_the_musitech_infrastructure_for_internet_based_interactive_musical_applications">Concepts of the musitech infrastructure for internet-based interactive musical applications</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper gives a survey of the infrastructure currently being developed in the MUSITECH project. The aim of this project is to conceptualize and implement a computational environment for navigation and interaction in internet-based... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_2202302" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper gives a survey of the infrastructure currently being developed in the MUSITECH project. The aim of this project is to conceptualize and implement a computational environment for navigation and interaction in internet-based musical applications. This comprises the development of data models, exchange formats, interface modules and a software framework. Our approach is to integrate different information and media types like MIDI, audio, text based codes and metadata and their relations, especially to provide means to describe arbitrary musical structures. We attempt to connect different musical domains to support cooperations and synergies. To establish platform independence Java, Extensible Markup Language (XML), and other open standards are used. The object model, a framework and various components for visualization, playback and other common tasks and the technical infrastructure are being developed and will be evaluated within the project.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/2202302" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="adcf8654f092b2296a34f127c3486a62" rel="nofollow" data-download="{"attachment_id":30253106,"asset_id":2202302,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/30253106/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2815827" href="https://city.academia.edu/TillmanWeyde">Tillman Weyde</a><script data-card-contents-for-user="2815827" type="text/json">{"id":2815827,"first_name":"Tillman","last_name":"Weyde","domain_name":"city","page_name":"TillmanWeyde","display_name":"Tillman Weyde","profile_url":"https://city.academia.edu/TillmanWeyde?f_ri=59695","photo":"https://0.academia-photos.com/2815827/31963764/29107296/s65_tillman.weyde.png"}</script></span></span></li><li class="js-paper-rank-work_2202302 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="2202302"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 2202302, container: ".js-paper-rank-work_2202302", }); 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The aim of this project is to conceptualize and implement a computational environment for navigation and interaction in internet-based musical applications. This comprises the development of data models, exchange formats, interface modules and a software framework. Our approach is to integrate different information and media types like MIDI, audio, text based codes and metadata and their relations, especially to provide means to describe arbitrary musical structures. We attempt to connect different musical domains to support cooperations and synergies. To establish platform independence Java, Extensible Markup Language (XML), and other open standards are used. The object model, a framework and various components for visualization, playback and other common tasks and the technical infrastructure are being developed and will be evaluated within the project.","downloadable_attachments":[{"id":30253106,"asset_id":2202302,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2815827,"first_name":"Tillman","last_name":"Weyde","domain_name":"city","page_name":"TillmanWeyde","display_name":"Tillman Weyde","profile_url":"https://city.academia.edu/TillmanWeyde?f_ri=59695","photo":"https://0.academia-photos.com/2815827/31963764/29107296/s65_tillman.weyde.png"}],"research_interests":[{"id":440,"name":"Distributed Computing","url":"https://www.academia.edu/Documents/in/Distributed_Computing?f_ri=59695","nofollow":true},{"id":453,"name":"Object Oriented Programming","url":"https://www.academia.edu/Documents/in/Object_Oriented_Programming?f_ri=59695","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=59695","nofollow":true},{"id":3442,"name":"Production","url":"https://www.academia.edu/Documents/in/Production?f_ri=59695","nofollow":true},{"id":4725,"name":"Metadata","url":"https://www.academia.edu/Documents/in/Metadata?f_ri=59695"},{"id":5279,"name":"XML","url":"https://www.academia.edu/Documents/in/XML?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":108742,"name":"MIDI","url":"https://www.academia.edu/Documents/in/MIDI?f_ri=59695"},{"id":209555,"name":"Open Systems","url":"https://www.academia.edu/Documents/in/Open_Systems?f_ri=59695"},{"id":243832,"name":"Software Framework","url":"https://www.academia.edu/Documents/in/Software_Framework?f_ri=59695"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models?f_ri=59695"},{"id":364962,"name":"Data Model","url":"https://www.academia.edu/Documents/in/Data_Model?f_ri=59695"},{"id":883877,"name":"Electronic Data Interchange","url":"https://www.academia.edu/Documents/in/Electronic_Data_Interchange?f_ri=59695"},{"id":899389,"name":"Open System","url":"https://www.academia.edu/Documents/in/Open_System?f_ri=59695"},{"id":961381,"name":"Meta data","url":"https://www.academia.edu/Documents/in/Meta_data?f_ri=59695"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet?f_ri=59695"},{"id":1471386,"name":"Extensible Markup Language","url":"https://www.academia.edu/Documents/in/Extensible_Markup_Language?f_ri=59695"},{"id":1931321,"name":"Application Software","url":"https://www.academia.edu/Documents/in/Application_Software?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_68023644" data-work_id="68023644" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/68023644/NaVRgate_Expression_Driven_VR_Environment_Navigation">NaVRgate: Expression-Driven VR Environment Navigation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">One aspect of a growing VR industry that developers have to face is the ethics behind the technology. This includes making sure that technology is readily available and accessible to as large of a population as possible. Current consumer... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_68023644" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">One aspect of a growing VR industry that developers have to face is the ethics behind the technology. This includes making sure that technology is readily available and accessible to as large of a population as possible. Current consumer virtual reality (VR) headsets typically utilize two controllers to navigate a virtual environment, leading to accessibility issues for potential users that cannot effectively operate a controller. We propose NaVRgate, a proof of concept idea that removes the need for controllers in which a user uses expressions to navigate a virtual environment. The system utilizes the computer webcam and computer vision face and eye position tracking to capture the nature of expression tracking, with certain positional thresholds representing different facial expressions. To test this system, We design a game environment where a user navigates with either a controller or the face position tracker, collecting a set of orbs scattered around the map as quickly as they can, comparing the efficiency between navigation through the novel computer vision and traditional controller methods. Users are also questioned on the difficulty of use and experience with each control input method. This paper details the process of the development and drafts, to the statistical experiment constructed to determine the efficiency of head gestures.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68023644" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ed617e7b727e19637cc165d910a2b977" rel="nofollow" data-download="{"attachment_id":78651090,"asset_id":68023644,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/78651090/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="168456700" href="https://independent.academia.edu/ShreyasRana">Shreyas Rana</a><script data-card-contents-for-user="168456700" type="text/json">{"id":168456700,"first_name":"Shreyas","last_name":"Rana","domain_name":"independent","page_name":"ShreyasRana","display_name":"Shreyas Rana","profile_url":"https://independent.academia.edu/ShreyasRana?f_ri=59695","photo":"https://0.academia-photos.com/168456700/71459358/75732974/s65_shreyas.rana.jpeg"}</script></span></span></li><li class="js-paper-rank-work_68023644 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68023644"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68023644, container: ".js-paper-rank-work_68023644", }); 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$(".js-view-count[data-work-id=68023644]").text(description); $(".js-view-count-work_68023644").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_68023644").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="68023644"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="854" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Vision">Computer Vision</a>, <script data-card-contents-for-ri="854" type="text/json">{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2008" rel="nofollow" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a><script data-card-contents-for-ri="2008" type="text/json">{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=68023644]'), work: {"id":68023644,"title":"NaVRgate: Expression-Driven VR Environment Navigation","created_at":"2022-01-13T19:03:41.015-08:00","url":"https://www.academia.edu/68023644/NaVRgate_Expression_Driven_VR_Environment_Navigation?f_ri=59695","dom_id":"work_68023644","summary":"One aspect of a growing VR industry that developers have to face is the ethics behind the technology. This includes making sure that technology is readily available and accessible to as large of a population as possible. Current consumer virtual reality (VR) headsets typically utilize two controllers to navigate a virtual environment, leading to accessibility issues for potential users that cannot effectively operate a controller. We propose NaVRgate, a proof of concept idea that removes the need for controllers in which a user uses expressions to navigate a virtual environment. The system utilizes the computer webcam and computer vision face and eye position tracking to capture the nature of expression tracking, with certain positional thresholds representing different facial expressions. To test this system, We design a game environment where a user navigates with either a controller or the face position tracker, collecting a set of orbs scattered around the map as quickly as they can, comparing the efficiency between navigation through the novel computer vision and traditional controller methods. Users are also questioned on the difficulty of use and experience with each control input method. This paper details the process of the development and drafts, to the statistical experiment constructed to determine the efficiency of head gestures.","downloadable_attachments":[{"id":78651090,"asset_id":68023644,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":168456700,"first_name":"Shreyas","last_name":"Rana","domain_name":"independent","page_name":"ShreyasRana","display_name":"Shreyas Rana","profile_url":"https://independent.academia.edu/ShreyasRana?f_ri=59695","photo":"https://0.academia-photos.com/168456700/71459358/75732974/s65_shreyas.rana.jpeg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=59695","nofollow":true},{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=59695","nofollow":true},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=59695","nofollow":true},{"id":2151,"name":"Virtual Reality (Computer Graphics)","url":"https://www.academia.edu/Documents/in/Virtual_Reality_Computer_Graphics_?f_ri=59695"},{"id":5200,"name":"Video Game Design","url":"https://www.academia.edu/Documents/in/Video_Game_Design?f_ri=59695"},{"id":8399,"name":"Accessibility (Computer Science)","url":"https://www.academia.edu/Documents/in/Accessibility_Computer_Science_?f_ri=59695"},{"id":44012,"name":"3D animation","url":"https://www.academia.edu/Documents/in/3D_animation?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science?f_ri=59695"},{"id":311120,"name":"OpenCV","url":"https://www.academia.edu/Documents/in/OpenCV?f_ri=59695"},{"id":321965,"name":"Unity3d","url":"https://www.academia.edu/Documents/in/Unity3d?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44609415" data-work_id="44609415" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/44609415/Sun_Compass_The_Theory_behind_the_Sun_Compasses">Sun Compass. The Theory behind the Sun Compasses</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">From Sundials to Sun Compasses. The theory which allowed the reconversion of  the Horizontal Analemmatic Sundials to Universal Sun Compasses, that were used to substitute the Magnetic Compasses in locations where they are unusable..</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44609415" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8614b39a2999ec860dce5ff50f512333" rel="nofollow" data-download="{"attachment_id":65073791,"asset_id":44609415,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65073791/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="58609128" href="https://retired.academia.edu/AlfonsoPastorMoreno">Alfonso Pastor-Moreno</a><script data-card-contents-for-user="58609128" type="text/json">{"id":58609128,"first_name":"Alfonso","last_name":"Pastor-Moreno","domain_name":"retired","page_name":"AlfonsoPastorMoreno","display_name":"Alfonso Pastor-Moreno","profile_url":"https://retired.academia.edu/AlfonsoPastorMoreno?f_ri=59695","photo":"https://0.academia-photos.com/58609128/15376075/164638820/s65_alfonso.pastor-moreno.jpeg"}</script></span></span></li><li class="js-paper-rank-work_44609415 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44609415"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44609415, container: ".js-paper-rank-work_44609415", }); 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The Theory behind the Sun Compasses","created_at":"2020-11-30T18:06:44.717-08:00","url":"https://www.academia.edu/44609415/Sun_Compass_The_Theory_behind_the_Sun_Compasses?f_ri=59695","dom_id":"work_44609415","summary":"From Sundials to Sun Compasses. The theory which allowed the reconversion of the Horizontal Analemmatic Sundials to Universal Sun Compasses, that were used to substitute the Magnetic Compasses in locations where they are unusable..","downloadable_attachments":[{"id":65073791,"asset_id":44609415,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":58609128,"first_name":"Alfonso","last_name":"Pastor-Moreno","domain_name":"retired","page_name":"AlfonsoPastorMoreno","display_name":"Alfonso Pastor-Moreno","profile_url":"https://retired.academia.edu/AlfonsoPastorMoreno?f_ri=59695","photo":"https://0.academia-photos.com/58609128/15376075/164638820/s65_alfonso.pastor-moreno.jpeg"}],"research_interests":[{"id":133,"name":"Military History","url":"https://www.academia.edu/Documents/in/Military_History?f_ri=59695","nofollow":true},{"id":559,"name":"Military Science","url":"https://www.academia.edu/Documents/in/Military_Science?f_ri=59695","nofollow":true},{"id":3723,"name":"History of Science","url":"https://www.academia.edu/Documents/in/History_of_Science?f_ri=59695","nofollow":true},{"id":23381,"name":"History of scientific instruments","url":"https://www.academia.edu/Documents/in/History_of_scientific_instruments?f_ri=59695","nofollow":true},{"id":58918,"name":"Scientific Instruments","url":"https://www.academia.edu/Documents/in/Scientific_Instruments?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":379659,"name":"Sundials","url":"https://www.academia.edu/Documents/in/Sundials?f_ri=59695"},{"id":414446,"name":"Historical Scientific Instruments","url":"https://www.academia.edu/Documents/in/Historical_Scientific_Instruments?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_49008054" data-work_id="49008054" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/49008054/DESIGN_AND_IMPLEMENTATION_OF_CAMPUS_NAVIGATION_SYSTEM">DESIGN AND IMPLEMENTATION OF CAMPUS NAVIGATION SYSTEM</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/49008054" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ae6650af938ba6a3604a82daf8becba3" rel="nofollow" data-download="{"attachment_id":67396656,"asset_id":49008054,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/67396656/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="51937411" href="https://independent.academia.edu/AdebayoSuleiman1">Adebayo Suleiman</a><script data-card-contents-for-user="51937411" type="text/json">{"id":51937411,"first_name":"Adebayo","last_name":"Suleiman","domain_name":"independent","page_name":"AdebayoSuleiman1","display_name":"Adebayo Suleiman","profile_url":"https://independent.academia.edu/AdebayoSuleiman1?f_ri=59695","photo":"https://0.academia-photos.com/51937411/27620538/25941790/s65_adebayo.suleiman.jpg"}</script></span></span></li><li class="js-paper-rank-work_49008054 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="49008054"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 49008054, container: ".js-paper-rank-work_49008054", }); 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$(".js-view-count[data-work-id=49008054]").text(description); $(".js-view-count-work_49008054").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_49008054").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="49008054"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a><script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=49008054]'), work: {"id":49008054,"title":"DESIGN AND IMPLEMENTATION OF CAMPUS NAVIGATION SYSTEM","created_at":"2021-05-22T02:49:03.804-07:00","url":"https://www.academia.edu/49008054/DESIGN_AND_IMPLEMENTATION_OF_CAMPUS_NAVIGATION_SYSTEM?f_ri=59695","dom_id":"work_49008054","summary":null,"downloadable_attachments":[{"id":67396656,"asset_id":49008054,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":51937411,"first_name":"Adebayo","last_name":"Suleiman","domain_name":"independent","page_name":"AdebayoSuleiman1","display_name":"Adebayo Suleiman","profile_url":"https://independent.academia.edu/AdebayoSuleiman1?f_ri=59695","photo":"https://0.academia-photos.com/51937411/27620538/25941790/s65_adebayo.suleiman.jpg"}],"research_interests":[{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_62409019" data-work_id="62409019" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/62409019/Notes_on_the_watercraft_of_Thanh_Hoa_province_northern_Vietnam">Notes on the watercraft of Thanh Hoa province, northern Vietnam</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/62409019" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="638ef8f4031186cd3044fa029d8b9e4c" rel="nofollow" data-download="{"attachment_id":75184631,"asset_id":62409019,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/75184631/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2997476" href="https://independent.academia.edu/NickBurningham">Nick Burningham</a><script data-card-contents-for-user="2997476" type="text/json">{"id":2997476,"first_name":"Nick","last_name":"Burningham","domain_name":"independent","page_name":"NickBurningham","display_name":"Nick Burningham","profile_url":"https://independent.academia.edu/NickBurningham?f_ri=59695","photo":"https://0.academia-photos.com/2997476/989291/1237779/s65_nick.burningham.jpg"}</script></span></span></li><li class="js-paper-rank-work_62409019 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="62409019"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 62409019, container: ".js-paper-rank-work_62409019", }); 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$(".js-view-count[data-work-id=62409019]").text(description); $(".js-view-count-work_62409019").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_62409019").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="62409019"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="392" rel="nofollow" href="https://www.academia.edu/Documents/in/Archaeology">Archaeology</a>, <script data-card-contents-for-ri="392" type="text/json">{"id":392,"name":"Archaeology","url":"https://www.academia.edu/Documents/in/Archaeology?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="16655" rel="nofollow" href="https://www.academia.edu/Documents/in/Vietnam">Vietnam</a>, <script data-card-contents-for-ri="16655" type="text/json">{"id":16655,"name":"Vietnam","url":"https://www.academia.edu/Documents/in/Vietnam?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="30137" rel="nofollow" href="https://www.academia.edu/Documents/in/Nautical_Archaeology">Nautical Archaeology</a>, <script data-card-contents-for-ri="30137" type="text/json">{"id":30137,"name":"Nautical Archaeology","url":"https://www.academia.edu/Documents/in/Nautical_Archaeology?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a><script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=62409019]'), work: {"id":62409019,"title":"Notes on the watercraft of Thanh Hoa province, northern Vietnam","created_at":"2021-11-25T19:42:35.174-08:00","url":"https://www.academia.edu/62409019/Notes_on_the_watercraft_of_Thanh_Hoa_province_northern_Vietnam?f_ri=59695","dom_id":"work_62409019","summary":null,"downloadable_attachments":[{"id":75184631,"asset_id":62409019,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2997476,"first_name":"Nick","last_name":"Burningham","domain_name":"independent","page_name":"NickBurningham","display_name":"Nick Burningham","profile_url":"https://independent.academia.edu/NickBurningham?f_ri=59695","photo":"https://0.academia-photos.com/2997476/989291/1237779/s65_nick.burningham.jpg"}],"research_interests":[{"id":392,"name":"Archaeology","url":"https://www.academia.edu/Documents/in/Archaeology?f_ri=59695","nofollow":true},{"id":16655,"name":"Vietnam","url":"https://www.academia.edu/Documents/in/Vietnam?f_ri=59695","nofollow":true},{"id":30137,"name":"Nautical Archaeology","url":"https://www.academia.edu/Documents/in/Nautical_Archaeology?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":60194,"name":"Transport","url":"https://www.academia.edu/Documents/in/Transport?f_ri=59695"},{"id":93769,"name":"Shipbuilding","url":"https://www.academia.edu/Documents/in/Shipbuilding?f_ri=59695"},{"id":972523,"name":"Manufacturer","url":"https://www.academia.edu/Documents/in/Manufacturer?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75726415" data-work_id="75726415" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/75726415/An_obstacle_detection_and_avoidance_of_a_mobile_robot_with_stereo_vision_camera">An obstacle detection and avoidance of a mobile robot with stereo vision camera</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents an obstacle detection and avoidance of mobile robot using stereo camera for indoor environment. Block matching algorithm is solved the correspondence problem occurred in comparing stereo images (left and right sensors... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75726415" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents an obstacle detection and avoidance of mobile robot using stereo camera for indoor environment. Block matching algorithm is solved the correspondence problem occurred in comparing stereo images (left and right sensors of the camera). The algorithm uses Sum of Absolute Differences (SAD). Left image works as a reference block to the right image and the output is disparity mapping or depth maps with the left coordinate system. A pair of camera or stereo vision baseline is based on horizontal configuration. The block matching technique is briefly described with the performance of its output. The curve fitting tool would determine the range of each obstacle detected in disparity mapping. The programming activities are using Matlab software starting from capturing images until navigation of mobile robot.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75726415" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="155540181" href="https://independent.academia.edu/SyedHamid16">Syed Hamid</a><script data-card-contents-for-user="155540181" type="text/json">{"id":155540181,"first_name":"Syed","last_name":"Hamid","domain_name":"independent","page_name":"SyedHamid16","display_name":"Syed Hamid","profile_url":"https://independent.academia.edu/SyedHamid16?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_75726415 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75726415"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75726415, container: ".js-paper-rank-work_75726415", }); 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$(".js-view-count[data-work-id=75726415]").text(description); $(".js-view-count-work_75726415").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75726415").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75726415"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3413" rel="nofollow" href="https://www.academia.edu/Documents/in/Robot_Vision">Robot Vision</a>, <script data-card-contents-for-ri="3413" type="text/json">{"id":3413,"name":"Robot Vision","url":"https://www.academia.edu/Documents/in/Robot_Vision?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="66823" rel="nofollow" href="https://www.academia.edu/Documents/in/Mobile_Robots">Mobile Robots</a><script data-card-contents-for-ri="66823" type="text/json">{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75726415]'), work: {"id":75726415,"title":"An obstacle detection and avoidance of a mobile robot with stereo vision camera","created_at":"2022-04-07T06:49:06.207-07:00","url":"https://www.academia.edu/75726415/An_obstacle_detection_and_avoidance_of_a_mobile_robot_with_stereo_vision_camera?f_ri=59695","dom_id":"work_75726415","summary":"This paper presents an obstacle detection and avoidance of mobile robot using stereo camera for indoor environment. Block matching algorithm is solved the correspondence problem occurred in comparing stereo images (left and right sensors of the camera). The algorithm uses Sum of Absolute Differences (SAD). Left image works as a reference block to the right image and the output is disparity mapping or depth maps with the left coordinate system. A pair of camera or stereo vision baseline is based on horizontal configuration. The block matching technique is briefly described with the performance of its output. The curve fitting tool would determine the range of each obstacle detected in disparity mapping. The programming activities are using Matlab software starting from capturing images until navigation of mobile robot.","downloadable_attachments":[],"ordered_authors":[{"id":155540181,"first_name":"Syed","last_name":"Hamid","domain_name":"independent","page_name":"SyedHamid16","display_name":"Syed Hamid","profile_url":"https://independent.academia.edu/SyedHamid16?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true},{"id":3413,"name":"Robot Vision","url":"https://www.academia.edu/Documents/in/Robot_Vision?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695","nofollow":true},{"id":148959,"name":"Stereo Vision","url":"https://www.academia.edu/Documents/in/Stereo_Vision?f_ri=59695"},{"id":168687,"name":"Obstacle Detection","url":"https://www.academia.edu/Documents/in/Obstacle_Detection?f_ri=59695"},{"id":179654,"name":"Mobile Robot","url":"https://www.academia.edu/Documents/in/Mobile_Robot?f_ri=59695"},{"id":236258,"name":"Mobile Robot Navigation","url":"https://www.academia.edu/Documents/in/Mobile_Robot_Navigation?f_ri=59695"},{"id":291387,"name":"Mathematical Model","url":"https://www.academia.edu/Documents/in/Mathematical_Model?f_ri=59695"},{"id":321194,"name":"Obstacle Avoidance","url":"https://www.academia.edu/Documents/in/Obstacle_Avoidance?f_ri=59695"},{"id":543415,"name":"Depth Map","url":"https://www.academia.edu/Documents/in/Depth_Map?f_ri=59695"},{"id":728244,"name":"Curve fitting","url":"https://www.academia.edu/Documents/in/Curve_fitting?f_ri=59695"},{"id":892171,"name":"Indoor Environment","url":"https://www.academia.edu/Documents/in/Indoor_Environment?f_ri=59695"},{"id":1112734,"name":"Block Matching","url":"https://www.academia.edu/Documents/in/Block_Matching?f_ri=59695"},{"id":1250338,"name":"Correspondence Problem","url":"https://www.academia.edu/Documents/in/Correspondence_Problem?f_ri=59695"},{"id":1707689,"name":"Pixel","url":"https://www.academia.edu/Documents/in/Pixel?f_ri=59695"},{"id":2008452,"name":"Block Matching Algorithm","url":"https://www.academia.edu/Documents/in/Block_Matching_Algorithm?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75074552" data-work_id="75074552" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75074552/Map_matching_Algorithm_for_Large_Databases">Map-matching Algorithm for Large Databases</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This article proposes a batch-mode algorithm to handle the large databases generated from experimentations using probe vehicles. This algorithm can locate raw Global Positioning System (GPS) positions on a map, but can also be used to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75074552" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This article proposes a batch-mode algorithm to handle the large databases generated from experimentations using probe vehicles. This algorithm can locate raw Global Positioning System (GPS) positions on a map, but can also be used to correct map-matching errors introduced by real time map-matching algorithms. For each journey, the algorithm globally searches for the closest path to the GPS positions, and so is inspired from the “path to path” algorithm&#39;s family. It uses the Multiple Hypothesis Technique (MHT) and relies on an innovative weighting system based on the area between the GPS points and the arcs making up the path. For high performance, the algorithm uses an iterative program and the data is stored in tree form.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75074552" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bb7cbdc20df0b402be5b10b9fb5de368" rel="nofollow" data-download="{"attachment_id":82990883,"asset_id":75074552,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82990883/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="66279260" href="https://independent.academia.edu/GSaintPierre">Guillaume Saint Pierre</a><script data-card-contents-for-user="66279260" type="text/json">{"id":66279260,"first_name":"Guillaume","last_name":"Saint Pierre","domain_name":"independent","page_name":"GSaintPierre","display_name":"Guillaume Saint Pierre","profile_url":"https://independent.academia.edu/GSaintPierre?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_75074552 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75074552"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75074552, container: ".js-paper-rank-work_75074552", }); });</script></li><li class="js-percentile-work_75074552 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75074552; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75074552"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75074552 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75074552"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75074552; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75074552]").text(description); $(".js-view-count-work_75074552").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75074552").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75074552"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="162010" rel="nofollow" href="https://www.academia.edu/Documents/in/Geomatic_Engineering">Geomatic Engineering</a><script data-card-contents-for-ri="162010" type="text/json">{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75074552]'), work: {"id":75074552,"title":"Map-matching Algorithm for Large Databases","created_at":"2022-03-31T07:28:51.208-07:00","url":"https://www.academia.edu/75074552/Map_matching_Algorithm_for_Large_Databases?f_ri=59695","dom_id":"work_75074552","summary":"This article proposes a batch-mode algorithm to handle the large databases generated from experimentations using probe vehicles. This algorithm can locate raw Global Positioning System (GPS) positions on a map, but can also be used to correct map-matching errors introduced by real time map-matching algorithms. For each journey, the algorithm globally searches for the closest path to the GPS positions, and so is inspired from the “path to path” algorithm\u0026#39;s family. It uses the Multiple Hypothesis Technique (MHT) and relies on an innovative weighting system based on the area between the GPS points and the arcs making up the path. For high performance, the algorithm uses an iterative program and the data is stored in tree form.","downloadable_attachments":[{"id":82990883,"asset_id":75074552,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":66279260,"first_name":"Guillaume","last_name":"Saint Pierre","domain_name":"independent","page_name":"GSaintPierre","display_name":"Guillaume Saint Pierre","profile_url":"https://independent.academia.edu/GSaintPierre?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73769251" data-work_id="73769251" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73769251/Lacustrine_Sockeye_Salmon_Return_Straight_to_their_Natal_Area_from_Open_Water_Using_Both_Visual_and_Olfactory_Cues">Lacustrine Sockeye Salmon Return Straight to their Natal Area from Open Water Using Both Visual and Olfactory Cues</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Mechanisms of the amazing ability of salmon to migrate a long distance from open water to natal streams for spawning are still unknown. Lacustrine sockeye salmon (Oncorhynchus nerka) in Lake Toya offers an excellent model system for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_73769251" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Mechanisms of the amazing ability of salmon to migrate a long distance from open water to natal streams for spawning are still unknown. Lacustrine sockeye salmon (Oncorhynchus nerka) in Lake Toya offers an excellent model system for studying the orientation mechanism in open water, because mature fish return to the natal area with a high degree of accuracy. First we examined the percentage of fish returning to the natal area after they were released 7 km south of the natal area. Forty percent of control male mature fish and 25% of the fish blinded by injection of a mixture of carbon toner and corn oil into the eyeball were captured in the natal area within 5 days. Forty-four percent of fish with brass rings (control) and 31% of fish with NdFe magnetic rings which interfere with the magnetic cue were captured in the natal area within 3 days. These experiments suggested that, although the number of blinded fish captured in the natal area was less than that of the controls, the difference was not statistically significant. In the fish captured in the natal area within 3 or 5 days, fish which found the natal area using their olfactory cue after random swimming for a long time and returned to that area may be included. Hence we tracked fish telemetrically using an ultrasonic tracking system, and found that mature males released at a long distance (3.6 or 6.8 km) from the natal area swam straight to the vicinity of the natal area. Interference of the magnetic cue by the attachment of a magnetic ring did not affect their direct return. Blockage of the visual cue caused them to move randomly. These data suggest that lacustrine sockeye salmon return straight to the vicinity of the natal area using their visual cue and finally reach the exact homing point using their olfactory cue.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73769251" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3d4fdf1204676236aba64ae23a87a333" rel="nofollow" data-download="{"attachment_id":82161107,"asset_id":73769251,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82161107/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="159842198" href="https://independent.academia.edu/HIROSHIUEDA2">HIROSHI UEDA</a><script data-card-contents-for-user="159842198" type="text/json">{"id":159842198,"first_name":"HIROSHI","last_name":"UEDA","domain_name":"independent","page_name":"HIROSHIUEDA2","display_name":"HIROSHI UEDA","profile_url":"https://independent.academia.edu/HIROSHIUEDA2?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_73769251 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73769251"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73769251, container: ".js-paper-rank-work_73769251", }); 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Lacustrine sockeye salmon (Oncorhynchus nerka) in Lake Toya offers an excellent model system for studying the orientation mechanism in open water, because mature fish return to the natal area with a high degree of accuracy. First we examined the percentage of fish returning to the natal area after they were released 7 km south of the natal area. Forty percent of control male mature fish and 25% of the fish blinded by injection of a mixture of carbon toner and corn oil into the eyeball were captured in the natal area within 5 days. Forty-four percent of fish with brass rings (control) and 31% of fish with NdFe magnetic rings which interfere with the magnetic cue were captured in the natal area within 3 days. These experiments suggested that, although the number of blinded fish captured in the natal area was less than that of the controls, the difference was not statistically significant. In the fish captured in the natal area within 3 or 5 days, fish which found the natal area using their olfactory cue after random swimming for a long time and returned to that area may be included. Hence we tracked fish telemetrically using an ultrasonic tracking system, and found that mature males released at a long distance (3.6 or 6.8 km) from the natal area swam straight to the vicinity of the natal area. Interference of the magnetic cue by the attachment of a magnetic ring did not affect their direct return. Blockage of the visual cue caused them to move randomly. These data suggest that lacustrine sockeye salmon return straight to the vicinity of the natal area using their visual cue and finally reach the exact homing point using their olfactory cue.","downloadable_attachments":[{"id":82161107,"asset_id":73769251,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":159842198,"first_name":"HIROSHI","last_name":"UEDA","domain_name":"independent","page_name":"HIROSHIUEDA2","display_name":"HIROSHI UEDA","profile_url":"https://independent.academia.edu/HIROSHIUEDA2?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":7523,"name":"Control","url":"https://www.academia.edu/Documents/in/Control?f_ri=59695","nofollow":true},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=59695","nofollow":true},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=59695","nofollow":true},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=59695","nofollow":true},{"id":56430,"name":"Difference","url":"https://www.academia.edu/Documents/in/Difference?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":61684,"name":"Model","url":"https://www.academia.edu/Documents/in/Model?f_ri=59695"},{"id":65881,"name":"FISH","url":"https://www.academia.edu/Documents/in/FISH?f_ri=59695"},{"id":71132,"name":"Distance","url":"https://www.academia.edu/Documents/in/Distance?f_ri=59695"},{"id":76228,"name":"Oil","url":"https://www.academia.edu/Documents/in/Oil?f_ri=59695"},{"id":91031,"name":"Attachment","url":"https://www.academia.edu/Documents/in/Attachment?f_ri=59695"},{"id":122562,"name":"Number","url":"https://www.academia.edu/Documents/in/Number?f_ri=59695"},{"id":149210,"name":"Mechanism","url":"https://www.academia.edu/Documents/in/Mechanism?f_ri=59695"},{"id":233530,"name":"Homing","url":"https://www.academia.edu/Documents/in/Homing?f_ri=59695"},{"id":434746,"name":"Model System","url":"https://www.academia.edu/Documents/in/Model_System?f_ri=59695"},{"id":506510,"name":"Olfactory","url":"https://www.academia.edu/Documents/in/Olfactory?f_ri=59695"},{"id":517414,"name":"Chemical Senses","url":"https://www.academia.edu/Documents/in/Chemical_Senses?f_ri=59695"},{"id":1714028,"name":"Long Distance","url":"https://www.academia.edu/Documents/in/Long_Distance?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73336799" data-work_id="73336799" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73336799/A_Tool_for_Managing_Software_Architecture_Knowledge">A Tool for Managing Software Architecture Knowledge</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper describes a tool for managing architectural knowledge and rationale. The tool has been developed to support a framework for capturing and using architectural knowledge to improve the architecture process. This paper describes... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_73336799" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper describes a tool for managing architectural knowledge and rationale. The tool has been developed to support a framework for capturing and using architectural knowledge to improve the architecture process. This paper describes the main architectural components and features of the tool. The paper also provides examples of using the tool for supporting wellknown architecture design and analysis methods.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73336799" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f74409181399395dcf55f06e0ecd18ab" rel="nofollow" data-download="{"attachment_id":81896089,"asset_id":73336799,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81896089/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="64723219" href="https://independent.academia.edu/MuhammadAdi53">Muhammad Adi</a><script data-card-contents-for-user="64723219" type="text/json">{"id":64723219,"first_name":"Muhammad","last_name":"Adi","domain_name":"independent","page_name":"MuhammadAdi53","display_name":"Muhammad Adi","profile_url":"https://independent.academia.edu/MuhammadAdi53?f_ri=59695","photo":"https://0.academia-photos.com/64723219/18770453/18731128/s65_muhammad.adi.jpg"}</script></span></span></li><li class="js-paper-rank-work_73336799 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73336799"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73336799, container: ".js-paper-rank-work_73336799", }); 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The tool has been developed to support a framework for capturing and using architectural knowledge to improve the architecture process. This paper describes the main architectural components and features of the tool. The paper also provides examples of using the tool for supporting wellknown architecture design and analysis methods.","downloadable_attachments":[{"id":81896089,"asset_id":73336799,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":64723219,"first_name":"Muhammad","last_name":"Adi","domain_name":"independent","page_name":"MuhammadAdi53","display_name":"Muhammad Adi","profile_url":"https://independent.academia.edu/MuhammadAdi53?f_ri=59695","photo":"https://0.academia-photos.com/64723219/18770453/18731128/s65_muhammad.adi.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true},{"id":433,"name":"Computer Architecture","url":"https://www.academia.edu/Documents/in/Computer_Architecture?f_ri=59695","nofollow":true},{"id":1241,"name":"Knowledge Management","url":"https://www.academia.edu/Documents/in/Knowledge_Management?f_ri=59695","nofollow":true},{"id":9270,"name":"Software Architecture","url":"https://www.academia.edu/Documents/in/Software_Architecture?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":61738,"name":"Architectural Design","url":"https://www.academia.edu/Documents/in/Architectural_Design?f_ri=59695"},{"id":159687,"name":"Design Methodology","url":"https://www.academia.edu/Documents/in/Design_Methodology?f_ri=59695"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models?f_ri=59695"},{"id":629663,"name":"Software Architecture and Design","url":"https://www.academia.edu/Documents/in/Software_Architecture_and_Design?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69843023" data-work_id="69843023" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69843023/Design_and_Evaluation_of_a_Flexible_Interface_for_Spatial_Navigation">Design and Evaluation of a Flexible Interface for Spatial Navigation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Abstract—The paper tackles the problem of designing intuitive graphical interfaces for selecting navigational targets for an autonomous robot. Our work focuses on the design and validation of such a flexible interface for an intelligent... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69843023" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstract—The paper tackles the problem of designing intuitive graphical interfaces for selecting navigational targets for an autonomous robot. Our work focuses on the design and validation of such a flexible interface for an intelligent wheelchair navigating in a large indoor environment. We begin by describing the robot platform and interface design. We then present results from a user study in which participants were required to select navigational targets using a variety of input and filtering methods. We considered two types of input modalities (point-and-click and single-switch), to investigate the effect of constraints on the input mode. We take a particular look at the use of filtering methods to reduce the amount of information presented onscreen and thereby accelerate selection of the correct option. I.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69843023" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fd3ab0d3b4fa45117b7301903cd8c681" rel="nofollow" data-download="{"attachment_id":79785722,"asset_id":69843023,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79785722/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="163559" href="https://mcgill.academia.edu/SylvieOng">Sylvie C.W. Ong</a><script data-card-contents-for-user="163559" type="text/json">{"id":163559,"first_name":"Sylvie C.W.","last_name":"Ong","domain_name":"mcgill","page_name":"SylvieOng","display_name":"Sylvie C.W. Ong","profile_url":"https://mcgill.academia.edu/SylvieOng?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_69843023 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69843023"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69843023, container: ".js-paper-rank-work_69843023", }); });</script></li><li class="js-percentile-work_69843023 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 69843023; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_69843023"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_69843023 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="69843023"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69843023; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69843023]").text(description); $(".js-view-count-work_69843023").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_69843023").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="69843023"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="11466" rel="nofollow" href="https://www.academia.edu/Documents/in/Interface_Design">Interface Design</a>, <script data-card-contents-for-ri="11466" type="text/json">{"id":11466,"name":"Interface Design","url":"https://www.academia.edu/Documents/in/Interface_Design?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="30791" rel="nofollow" href="https://www.academia.edu/Documents/in/Path_planning">Path planning</a>, <script data-card-contents-for-ri="30791" type="text/json">{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59964" rel="nofollow" href="https://www.academia.edu/Documents/in/GUI">GUI</a><script data-card-contents-for-ri="59964" type="text/json">{"id":59964,"name":"GUI","url":"https://www.academia.edu/Documents/in/GUI?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69843023]'), work: {"id":69843023,"title":"Design and Evaluation of a Flexible Interface for Spatial Navigation","created_at":"2022-01-28T19:22:45.243-08:00","url":"https://www.academia.edu/69843023/Design_and_Evaluation_of_a_Flexible_Interface_for_Spatial_Navigation?f_ri=59695","dom_id":"work_69843023","summary":"Abstract—The paper tackles the problem of designing intuitive graphical interfaces for selecting navigational targets for an autonomous robot. Our work focuses on the design and validation of such a flexible interface for an intelligent wheelchair navigating in a large indoor environment. We begin by describing the robot platform and interface design. We then present results from a user study in which participants were required to select navigational targets using a variety of input and filtering methods. We considered two types of input modalities (point-and-click and single-switch), to investigate the effect of constraints on the input mode. We take a particular look at the use of filtering methods to reduce the amount of information presented onscreen and thereby accelerate selection of the correct option. I.","downloadable_attachments":[{"id":79785722,"asset_id":69843023,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":163559,"first_name":"Sylvie C.W.","last_name":"Ong","domain_name":"mcgill","page_name":"SylvieOng","display_name":"Sylvie C.W. Ong","profile_url":"https://mcgill.academia.edu/SylvieOng?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":11466,"name":"Interface Design","url":"https://www.academia.edu/Documents/in/Interface_Design?f_ri=59695","nofollow":true},{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":59964,"name":"GUI","url":"https://www.academia.edu/Documents/in/GUI?f_ri=59695","nofollow":true},{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695"},{"id":128454,"name":"Human Robot Interaction","url":"https://www.academia.edu/Documents/in/Human_Robot_Interaction?f_ri=59695"},{"id":197254,"name":"Graphical User Interfaces","url":"https://www.academia.edu/Documents/in/Graphical_User_Interfaces?f_ri=59695"},{"id":322752,"name":"Telerobotics","url":"https://www.academia.edu/Documents/in/Telerobotics?f_ri=59695"},{"id":554075,"name":"Spatial navigation","url":"https://www.academia.edu/Documents/in/Spatial_navigation?f_ri=59695"},{"id":619635,"name":"Path Planning","url":"https://www.academia.edu/Documents/in/Path_Planning-1?f_ri=59695"},{"id":1259267,"name":"Switches","url":"https://www.academia.edu/Documents/in/Switches?f_ri=59695"},{"id":1329323,"name":"Graphical User Interface","url":"https://www.academia.edu/Documents/in/Graphical_User_Interface?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_62048032" data-work_id="62048032" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/62048032/Adaptation_of_High_Resolution_Ikonos_Images_to_Googleearth_for_Zonguldak_Test_Field">Adaptation of High Resolution Ikonos Images to Googleearth for Zonguldak Test Field</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">At the present time, remote sensing technologies are being improved and day by day, by launching new satellites with new developed techniques, images can be obtained faster with high resolution. The satellites which had been launched... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_62048032" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">At the present time, remote sensing technologies are being improved and day by day, by launching new satellites with new developed techniques, images can be obtained faster with high resolution. The satellites which had been launched recent years for example; Ikonos, Quickbird and Orbview-3 have 1m and better resolution, continue their missions with quite success.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/62048032" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0f37b0d8d35e6d71892a8eb69d7eb4d9" rel="nofollow" data-download="{"attachment_id":74916058,"asset_id":62048032,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74916058/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="181874780" href="https://gtu-tr.academia.edu/UmutGunesSefercik">Umut Gunes Sefercik</a><script data-card-contents-for-user="181874780" type="text/json">{"id":181874780,"first_name":"Umut Gunes","last_name":"Sefercik","domain_name":"gtu-tr","page_name":"UmutGunesSefercik","display_name":"Umut Gunes Sefercik","profile_url":"https://gtu-tr.academia.edu/UmutGunesSefercik?f_ri=59695","photo":"https://0.academia-photos.com/181874780/50381024/38398197/s65_umut_gunes.sefercik.jpg"}</script></span></span></li><li class="js-paper-rank-work_62048032 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="62048032"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 62048032, container: ".js-paper-rank-work_62048032", }); });</script></li><li class="js-percentile-work_62048032 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 62048032; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_62048032"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_62048032 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="62048032"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 62048032; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=62048032]").text(description); $(".js-view-count-work_62048032").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_62048032").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="62048032"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">16</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1185" rel="nofollow" href="https://www.academia.edu/Documents/in/Image_Processing">Image Processing</a>, <script data-card-contents-for-ri="1185" type="text/json">{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" rel="nofollow" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="23408" rel="nofollow" href="https://www.academia.edu/Documents/in/Remote_sensing_and_GIS">Remote sensing and GIS</a>, <script data-card-contents-for-ri="23408" type="text/json">{"id":23408,"name":"Remote sensing and GIS","url":"https://www.academia.edu/Documents/in/Remote_sensing_and_GIS?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="48769" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Integration">Data Integration</a><script data-card-contents-for-ri="48769" type="text/json">{"id":48769,"name":"Data Integration","url":"https://www.academia.edu/Documents/in/Data_Integration?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=62048032]'), work: {"id":62048032,"title":"Adaptation of High Resolution Ikonos Images to Googleearth for Zonguldak Test Field","created_at":"2021-11-19T23:19:24.995-08:00","url":"https://www.academia.edu/62048032/Adaptation_of_High_Resolution_Ikonos_Images_to_Googleearth_for_Zonguldak_Test_Field?f_ri=59695","dom_id":"work_62048032","summary":"At the present time, remote sensing technologies are being improved and day by day, by launching new satellites with new developed techniques, images can be obtained faster with high resolution. The satellites which had been launched recent years for example; Ikonos, Quickbird and Orbview-3 have 1m and better resolution, continue their missions with quite success.","downloadable_attachments":[{"id":74916058,"asset_id":62048032,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":181874780,"first_name":"Umut Gunes","last_name":"Sefercik","domain_name":"gtu-tr","page_name":"UmutGunesSefercik","display_name":"Umut Gunes Sefercik","profile_url":"https://gtu-tr.academia.edu/UmutGunesSefercik?f_ri=59695","photo":"https://0.academia-photos.com/181874780/50381024/38398197/s65_umut_gunes.sefercik.jpg"}],"research_interests":[{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=59695","nofollow":true},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=59695","nofollow":true},{"id":23408,"name":"Remote sensing and GIS","url":"https://www.academia.edu/Documents/in/Remote_sensing_and_GIS?f_ri=59695","nofollow":true},{"id":48769,"name":"Data Integration","url":"https://www.academia.edu/Documents/in/Data_Integration?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":75777,"name":"Geomatics Engineering","url":"https://www.academia.edu/Documents/in/Geomatics_Engineering?f_ri=59695"},{"id":94504,"name":"Image Understanding","url":"https://www.academia.edu/Documents/in/Image_Understanding?f_ri=59695"},{"id":309086,"name":"High Resolution","url":"https://www.academia.edu/Documents/in/High_Resolution?f_ri=59695"},{"id":313898,"name":"Information Content","url":"https://www.academia.edu/Documents/in/Information_Content?f_ri=59695"},{"id":341805,"name":"Data Integrity","url":"https://www.academia.edu/Documents/in/Data_Integrity?f_ri=59695"},{"id":400982,"name":"Topographic Map","url":"https://www.academia.edu/Documents/in/Topographic_Map?f_ri=59695"},{"id":478709,"name":"Ikonos","url":"https://www.academia.edu/Documents/in/Ikonos?f_ri=59695"},{"id":1009312,"name":"Geographic Information Systems (GIS)","url":"https://www.academia.edu/Documents/in/Geographic_Information_Systems_GIS_?f_ri=59695"},{"id":1211138,"name":"Geographic Information System","url":"https://www.academia.edu/Documents/in/Geographic_Information_System?f_ri=59695"},{"id":2389604,"name":"GoogleEarth Pro","url":"https://www.academia.edu/Documents/in/GoogleEarth_Pro?f_ri=59695"},{"id":4041490,"name":"Satellite Image","url":"https://www.academia.edu/Documents/in/Satellite_Image?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_18422382" data-work_id="18422382" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/18422382/VDIM_vector_based_diffusion_and_interpolation_matrix_for_computing_region_based_crowdsourced_ratings">VDIM: vector-based diffusion and interpolation matrix for computing region-based crowdsourced ratings</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">When users consult a trip planner, map or navigation system for directions, they are presented with several route options which often are evaluated based on shortest path or shortest duration. However, in some cases, users may require the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_18422382" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">When users consult a trip planner, map or navigation system for directions, they are presented with several route options which often are evaluated based on shortest path or shortest duration. However, in some cases, users may require the choices of route to be evaluated on other criteria, such as safest route, particularly if users are new visitors to the city. With recent introductions of different platforms to crowdsource public experience and perceptions of safety, this data can be used to calculate safe route selection. However, such user generated contents are often inconsistent, sparse, or may not have a complete spatial coverage. This paper proposes Vector-based Diffusion and Interpolation Matrix (VDIM), a novel method to diffuse and interpolate information on spatial grid cells to calculate safety ratings of regions, which could be used to calculate the route safety.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/18422382" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e370a926fb22a59765662c9a01919fcc" rel="nofollow" data-download="{"attachment_id":40055365,"asset_id":18422382,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/40055365/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15128175" href="https://independent.academia.edu/IrwanSubastian">Irwan Subastian</a><script data-card-contents-for-user="15128175" type="text/json">{"id":15128175,"first_name":"Irwan","last_name":"Subastian","domain_name":"independent","page_name":"IrwanSubastian","display_name":"Irwan Subastian","profile_url":"https://independent.academia.edu/IrwanSubastian?f_ri=59695","photo":"https://0.academia-photos.com/15128175/7971219/8928752/s65_irwan.subastian.jpg_oh_a13caa999c3e185071248ea8b89b4e78_oe_55b67d00___gda___1437789324_fd978edd5fce55dbb326050b8388f829"}</script></span></span></li><li class="js-paper-rank-work_18422382 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="18422382"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 18422382, container: ".js-paper-rank-work_18422382", }); });</script></li><li class="js-percentile-work_18422382 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18422382; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_18422382"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_18422382 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="18422382"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18422382; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18422382]").text(description); $(".js-view-count-work_18422382").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_18422382").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="18422382"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="428" rel="nofollow" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1362" rel="nofollow" href="https://www.academia.edu/Documents/in/Spatial_Analysis">Spatial Analysis</a>, <script data-card-contents-for-ri="1362" type="text/json">{"id":1362,"name":"Spatial Analysis","url":"https://www.academia.edu/Documents/in/Spatial_Analysis?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="20808" rel="nofollow" href="https://www.academia.edu/Documents/in/Interpolation_Geostatistics_">Interpolation (Geostatistics)</a><script data-card-contents-for-ri="20808" type="text/json">{"id":20808,"name":"Interpolation (Geostatistics)","url":"https://www.academia.edu/Documents/in/Interpolation_Geostatistics_?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=18422382]'), work: {"id":18422382,"title":"VDIM: vector-based diffusion and interpolation matrix for computing region-based crowdsourced ratings","created_at":"2015-11-16T01:19:15.958-08:00","url":"https://www.academia.edu/18422382/VDIM_vector_based_diffusion_and_interpolation_matrix_for_computing_region_based_crowdsourced_ratings?f_ri=59695","dom_id":"work_18422382","summary":"When users consult a trip planner, map or navigation system for directions, they are presented with several route options which often are evaluated based on shortest path or shortest duration. However, in some cases, users may require the choices of route to be evaluated on other criteria, such as safest route, particularly if users are new visitors to the city. With recent introductions of different platforms to crowdsource public experience and perceptions of safety, this data can be used to calculate safe route selection. However, such user generated contents are often inconsistent, sparse, or may not have a complete spatial coverage. This paper proposes Vector-based Diffusion and Interpolation Matrix (VDIM), a novel method to diffuse and interpolate information on spatial grid cells to calculate safety ratings of regions, which could be used to calculate the route safety.","downloadable_attachments":[{"id":40055365,"asset_id":18422382,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":15128175,"first_name":"Irwan","last_name":"Subastian","domain_name":"independent","page_name":"IrwanSubastian","display_name":"Irwan Subastian","profile_url":"https://independent.academia.edu/IrwanSubastian?f_ri=59695","photo":"https://0.academia-photos.com/15128175/7971219/8928752/s65_irwan.subastian.jpg_oh_a13caa999c3e185071248ea8b89b4e78_oe_55b67d00___gda___1437789324_fd978edd5fce55dbb326050b8388f829"}],"research_interests":[{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=59695","nofollow":true},{"id":1362,"name":"Spatial Analysis","url":"https://www.academia.edu/Documents/in/Spatial_Analysis?f_ri=59695","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=59695","nofollow":true},{"id":20808,"name":"Interpolation (Geostatistics)","url":"https://www.academia.edu/Documents/in/Interpolation_Geostatistics_?f_ri=59695","nofollow":true},{"id":21556,"name":"Crowdsourcing","url":"https://www.academia.edu/Documents/in/Crowdsourcing?f_ri=59695"},{"id":26825,"name":"Mobile Computing","url":"https://www.academia.edu/Documents/in/Mobile_Computing?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":65030,"name":"Mobile apps","url":"https://www.academia.edu/Documents/in/Mobile_apps?f_ri=59695"},{"id":74033,"name":"Mapping","url":"https://www.academia.edu/Documents/in/Mapping?f_ri=59695"},{"id":74314,"name":"Route Planning","url":"https://www.academia.edu/Documents/in/Route_Planning?f_ri=59695"},{"id":289278,"name":"Big Data Analytics","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics?f_ri=59695"},{"id":502710,"name":"Multimodal Route Planning","url":"https://www.academia.edu/Documents/in/Multimodal_Route_Planning?f_ri=59695"},{"id":1107220,"name":"Civic Crowdsourcing","url":"https://www.academia.edu/Documents/in/Civic_Crowdsourcing?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_77133686" data-work_id="77133686" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/77133686/AQUA_an_aquatic_walking_robot">AQUA: an aquatic walking robot</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper describes an underwater walking robotic system being developed under the name AQUA, the goals of the AQUA project, the overall hardware and software design, the basic hardware and sensor packages that have been developed, and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_77133686" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper describes an underwater walking robotic system being developed under the name AQUA, the goals of the AQUA project, the overall hardware and software design, the basic hardware and sensor packages that have been developed, and some initial experiments. The robot is based on the RHex hexapod robot and uses a suite of sensing technologies, primarily based on computer vision and INS, to allow it to navigate and map clear shallow-water environments. The sensor-based navigation and mapping algorithms are based on the use of both artificial floating visual and acoustic landmarks as well as on naturally occurring underwater landmarks and trinocular stereo.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/77133686" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ef14ce1a1e99a317b61033a9557955fe" rel="nofollow" data-download="{"attachment_id":84599949,"asset_id":77133686,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84599949/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="34930973" href="https://independent.academia.edu/GregoryDudek">Gregory Dudek</a><script data-card-contents-for-user="34930973" type="text/json">{"id":34930973,"first_name":"Gregory","last_name":"Dudek","domain_name":"independent","page_name":"GregoryDudek","display_name":"Gregory Dudek","profile_url":"https://independent.academia.edu/GregoryDudek?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_77133686 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="77133686"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 77133686, container: ".js-paper-rank-work_77133686", }); });</script></li><li class="js-percentile-work_77133686 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77133686; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_77133686"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_77133686 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="77133686"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77133686; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77133686]").text(description); $(".js-view-count-work_77133686").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_77133686").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="77133686"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="77" rel="nofollow" href="https://www.academia.edu/Documents/in/Robotics">Robotics</a>, <script data-card-contents-for-ri="77" type="text/json">{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="854" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Vision">Computer Vision</a><script data-card-contents-for-ri="854" type="text/json">{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=77133686]'), work: {"id":77133686,"title":"AQUA: an aquatic walking robot","created_at":"2022-04-20T21:39:50.531-07:00","url":"https://www.academia.edu/77133686/AQUA_an_aquatic_walking_robot?f_ri=59695","dom_id":"work_77133686","summary":"This paper describes an underwater walking robotic system being developed under the name AQUA, the goals of the AQUA project, the overall hardware and software design, the basic hardware and sensor packages that have been developed, and some initial experiments. The robot is based on the RHex hexapod robot and uses a suite of sensing technologies, primarily based on computer vision and INS, to allow it to navigate and map clear shallow-water environments. The sensor-based navigation and mapping algorithms are based on the use of both artificial floating visual and acoustic landmarks as well as on naturally occurring underwater landmarks and trinocular stereo.","downloadable_attachments":[{"id":84599949,"asset_id":77133686,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":34930973,"first_name":"Gregory","last_name":"Dudek","domain_name":"independent","page_name":"GregoryDudek","display_name":"Gregory Dudek","profile_url":"https://independent.academia.edu/GregoryDudek?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=59695","nofollow":true},{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=59695","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true},{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=59695","nofollow":true},{"id":8129,"name":"Software Development","url":"https://www.academia.edu/Documents/in/Software_Development?f_ri=59695"},{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695"},{"id":55405,"name":"Sensors","url":"https://www.academia.edu/Documents/in/Sensors?f_ri=59695"},{"id":57939,"name":"Software Design","url":"https://www.academia.edu/Documents/in/Software_Design?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":99861,"name":"ROBOT","url":"https://www.academia.edu/Documents/in/ROBOT?f_ri=59695"},{"id":160102,"name":"Systems","url":"https://www.academia.edu/Documents/in/Systems?f_ri=59695"},{"id":305820,"name":"Circuit Design","url":"https://www.academia.edu/Documents/in/Circuit_Design?f_ri=59695"},{"id":547929,"name":"Walking robot","url":"https://www.academia.edu/Documents/in/Walking_robot?f_ri=59695"},{"id":619635,"name":"Path Planning","url":"https://www.academia.edu/Documents/in/Path_Planning-1?f_ri=59695"},{"id":727267,"name":"Hexapod","url":"https://www.academia.edu/Documents/in/Hexapod?f_ri=59695"},{"id":1407728,"name":"Shallow Water","url":"https://www.academia.edu/Documents/in/Shallow_Water?f_ri=59695"},{"id":3854666,"name":"Autonomous Robot","url":"https://www.academia.edu/Documents/in/Autonomous_Robot?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73352584" data-work_id="73352584" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73352584/Agent_Based_Mobile_Robots_Navigation_Framework">Agent-Based Mobile Robots Navigation Framework</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The problem of mobile robot navigation has received a noticeable attention over last few years. Several different approaches were presented, each having major limitations. In this paper a new, agentbased solution the problem of mobile... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_73352584" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The problem of mobile robot navigation has received a noticeable attention over last few years. Several different approaches were presented, each having major limitations. In this paper a new, agentbased solution the problem of mobile robots navigation is proposed. It is based on a novel representation of the environment, that divides it into a number of distinct regions, and assigns autonomous software Space Agents to supervise it. Space Agents create a graph, that represents a high-level structure of the entire environment. The graph is used as a virtual space, that robot controlling agents work in. The most important features of the approach are: path planning for multiple robots based on most recent data available in the system, automated collision avoidance, simple localization of a "lost robot" and unrestricted scalability.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73352584" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1d260d481fa37828282fe8ecbf809072" rel="nofollow" data-download="{"attachment_id":81905218,"asset_id":73352584,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81905218/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="73645047" href="https://independent.academia.edu/TaikyeongJeong">Taikyeong Jeong</a><script data-card-contents-for-user="73645047" type="text/json">{"id":73645047,"first_name":"Taikyeong","last_name":"Jeong","domain_name":"independent","page_name":"TaikyeongJeong","display_name":"Taikyeong Jeong","profile_url":"https://independent.academia.edu/TaikyeongJeong?f_ri=59695","photo":"https://0.academia-photos.com/73645047/19371970/19288820/s65_taikyeong.jeong.jpeg"}</script></span></span></li><li class="js-paper-rank-work_73352584 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73352584"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73352584, container: ".js-paper-rank-work_73352584", }); });</script></li><li class="js-percentile-work_73352584 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73352584; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_73352584"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_73352584 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="73352584"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73352584; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73352584]").text(description); $(".js-view-count-work_73352584").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_73352584").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="73352584"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="77" rel="nofollow" href="https://www.academia.edu/Documents/in/Robotics">Robotics</a>, <script data-card-contents-for-ri="77" type="text/json">{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="7406" rel="nofollow" href="https://www.academia.edu/Documents/in/Agent_Based">Agent Based</a>, <script data-card-contents-for-ri="7406" type="text/json">{"id":7406,"name":"Agent Based","url":"https://www.academia.edu/Documents/in/Agent_Based?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10194" rel="nofollow" href="https://www.academia.edu/Documents/in/Localization">Localization</a><script data-card-contents-for-ri="10194" type="text/json">{"id":10194,"name":"Localization","url":"https://www.academia.edu/Documents/in/Localization?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=73352584]'), work: {"id":73352584,"title":"Agent-Based Mobile Robots Navigation Framework","created_at":"2022-03-08T15:56:06.381-08:00","url":"https://www.academia.edu/73352584/Agent_Based_Mobile_Robots_Navigation_Framework?f_ri=59695","dom_id":"work_73352584","summary":"The problem of mobile robot navigation has received a noticeable attention over last few years. Several different approaches were presented, each having major limitations. In this paper a new, agentbased solution the problem of mobile robots navigation is proposed. It is based on a novel representation of the environment, that divides it into a number of distinct regions, and assigns autonomous software Space Agents to supervise it. Space Agents create a graph, that represents a high-level structure of the entire environment. The graph is used as a virtual space, that robot controlling agents work in. The most important features of the approach are: path planning for multiple robots based on most recent data available in the system, automated collision avoidance, simple localization of a \"lost robot\" and unrestricted scalability.","downloadable_attachments":[{"id":81905218,"asset_id":73352584,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":73645047,"first_name":"Taikyeong","last_name":"Jeong","domain_name":"independent","page_name":"TaikyeongJeong","display_name":"Taikyeong Jeong","profile_url":"https://independent.academia.edu/TaikyeongJeong?f_ri=59695","photo":"https://0.academia-photos.com/73645047/19371970/19288820/s65_taikyeong.jeong.jpeg"}],"research_interests":[{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=59695","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=59695","nofollow":true},{"id":7406,"name":"Agent Based","url":"https://www.academia.edu/Documents/in/Agent_Based?f_ri=59695","nofollow":true},{"id":10194,"name":"Localization","url":"https://www.academia.edu/Documents/in/Localization?f_ri=59695","nofollow":true},{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695"},{"id":40988,"name":"Virtual Space","url":"https://www.academia.edu/Documents/in/Virtual_Space?f_ri=59695"},{"id":50895,"name":"Software Agents","url":"https://www.academia.edu/Documents/in/Software_Agents?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":143084,"name":"Collision Avoidance","url":"https://www.academia.edu/Documents/in/Collision_Avoidance?f_ri=59695"},{"id":236258,"name":"Mobile Robot Navigation","url":"https://www.academia.edu/Documents/in/Mobile_Robot_Navigation?f_ri=59695"},{"id":377043,"name":"Scalability","url":"https://www.academia.edu/Documents/in/Scalability?f_ri=59695"},{"id":423253,"name":"Mobile Agent","url":"https://www.academia.edu/Documents/in/Mobile_Agent?f_ri=59695"},{"id":619635,"name":"Path Planning","url":"https://www.academia.edu/Documents/in/Path_Planning-1?f_ri=59695"},{"id":2729071,"name":"Multipath Propagation","url":"https://www.academia.edu/Documents/in/Multipath_Propagation?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_67113871" data-work_id="67113871" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/67113871/Dynamic_robot_planning_cooperation_through_competition">Dynamic robot planning: cooperation through competition</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We address scaling of the "dynamic systems" approach for robot planning to multi-agent cooperation. To accommodate this extension it is necessary to carefully consider how individual behaviors contribute to the vector field. To avoid... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_67113871" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We address scaling of the "dynamic systems" approach for robot planning to multi-agent cooperation. To accommodate this extension it is necessary to carefully consider how individual behaviors contribute to the vector field. To avoid spun"ous minima and related pro biems a competition dynamics is introduced and its stability is analyzed. A system of two cooperating agents is designed, and examples are presented to illustrate the utility of this approach.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/67113871" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9c0d6447daab2c936123ba55b40c6aaa" rel="nofollow" data-download="{"attachment_id":78053692,"asset_id":67113871,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/78053692/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="174871380" href="https://fjsll.academia.edu/HChristensen">Henrik Christensen</a><script data-card-contents-for-user="174871380" type="text/json">{"id":174871380,"first_name":"Henrik","last_name":"Christensen","domain_name":"fjsll","page_name":"HChristensen","display_name":"Henrik Christensen","profile_url":"https://fjsll.academia.edu/HChristensen?f_ri=59695","photo":"https://0.academia-photos.com/174871380/59535281/47782079/s65_henrik.christensen.jpeg"}</script></span></span></li><li class="js-paper-rank-work_67113871 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="67113871"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 67113871, container: ".js-paper-rank-work_67113871", }); 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$(".js-view-count[data-work-id=67113871]").text(description); $(".js-view-count-work_67113871").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_67113871").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="67113871"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2424" rel="nofollow" href="https://www.academia.edu/Documents/in/Computational_Geometry">Computational Geometry</a>, <script data-card-contents-for-ri="2424" type="text/json">{"id":2424,"name":"Computational Geometry","url":"https://www.academia.edu/Documents/in/Computational_Geometry?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="7526" rel="nofollow" href="https://www.academia.edu/Documents/in/Intelligent_Control">Intelligent Control</a><script data-card-contents-for-ri="7526" type="text/json">{"id":7526,"name":"Intelligent Control","url":"https://www.academia.edu/Documents/in/Intelligent_Control?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=67113871]'), work: {"id":67113871,"title":"Dynamic robot planning: cooperation through competition","created_at":"2022-01-04T11:04:29.637-08:00","url":"https://www.academia.edu/67113871/Dynamic_robot_planning_cooperation_through_competition?f_ri=59695","dom_id":"work_67113871","summary":"We address scaling of the \"dynamic systems\" approach for robot planning to multi-agent cooperation. To accommodate this extension it is necessary to carefully consider how individual behaviors contribute to the vector field. To avoid spun\"ous minima and related pro biems a competition dynamics is introduced and its stability is analyzed. A system of two cooperating agents is designed, and examples are presented to illustrate the utility of this approach.","downloadable_attachments":[{"id":78053692,"asset_id":67113871,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":174871380,"first_name":"Henrik","last_name":"Christensen","domain_name":"fjsll","page_name":"HChristensen","display_name":"Henrik Christensen","profile_url":"https://fjsll.academia.edu/HChristensen?f_ri=59695","photo":"https://0.academia-photos.com/174871380/59535281/47782079/s65_henrik.christensen.jpeg"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=59695","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true},{"id":2424,"name":"Computational Geometry","url":"https://www.academia.edu/Documents/in/Computational_Geometry?f_ri=59695","nofollow":true},{"id":7526,"name":"Intelligent Control","url":"https://www.academia.edu/Documents/in/Intelligent_Control?f_ri=59695","nofollow":true},{"id":25600,"name":"Stability","url":"https://www.academia.edu/Documents/in/Stability?f_ri=59695"},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems?f_ri=59695"},{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695"},{"id":89919,"name":"Robots","url":"https://www.academia.edu/Documents/in/Robots?f_ri=59695"},{"id":90162,"name":"Kinematics","url":"https://www.academia.edu/Documents/in/Kinematics?f_ri=59695"},{"id":136751,"name":"Stability Analysis","url":"https://www.academia.edu/Documents/in/Stability_Analysis?f_ri=59695"},{"id":619635,"name":"Path Planning","url":"https://www.academia.edu/Documents/in/Path_Planning-1?f_ri=59695"},{"id":868912,"name":"Dynamic System","url":"https://www.academia.edu/Documents/in/Dynamic_System?f_ri=59695"},{"id":1430080,"name":"Solid Modeling","url":"https://www.academia.edu/Documents/in/Solid_Modeling?f_ri=59695"},{"id":1438264,"name":"Cooperative Agents","url":"https://www.academia.edu/Documents/in/Cooperative_Agents?f_ri=59695"},{"id":1461519,"name":"Robotics Automation","url":"https://www.academia.edu/Documents/in/Robotics_Automation?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_49824562" data-work_id="49824562" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/49824562/Agent_support_for_online_learning">Agent support for online learning</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The paper describes the use of latent semantic analysis and intelligent agents as means of supporting learning network users with their needs. These include the need to position themselves in the network, to navigate between activity... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_49824562" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The paper describes the use of latent semantic analysis and intelligent agents as means of supporting learning network users with their needs. These include the need to position themselves in the network, to navigate between activity nodes, to acquire support for content bound questions.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/49824562" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7f1e1075c2d4fb794d7a7288e32ac0cc" rel="nofollow" data-download="{"attachment_id":68040329,"asset_id":49824562,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/68040329/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="44906624" href="https://independent.academia.edu/FreddeVries">Fred de Vries</a><script data-card-contents-for-user="44906624" type="text/json">{"id":44906624,"first_name":"Fred","last_name":"de Vries","domain_name":"independent","page_name":"FreddeVries","display_name":"Fred de Vries","profile_url":"https://independent.academia.edu/FreddeVries?f_ri=59695","photo":"https://0.academia-photos.com/44906624/12492641/17989479/s65_fred.de_vries.jpg"}</script></span></span></li><li class="js-paper-rank-work_49824562 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="49824562"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 49824562, container: ".js-paper-rank-work_49824562", }); 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These include the need to position themselves in the network, to navigate between activity nodes, to acquire support for content bound questions.","downloadable_attachments":[{"id":68040329,"asset_id":49824562,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":44906624,"first_name":"Fred","last_name":"de Vries","domain_name":"independent","page_name":"FreddeVries","display_name":"Fred de Vries","profile_url":"https://independent.academia.edu/FreddeVries?f_ri=59695","photo":"https://0.academia-photos.com/44906624/12492641/17989479/s65_fred.de_vries.jpg"}],"research_interests":[{"id":7109,"name":"Student support","url":"https://www.academia.edu/Documents/in/Student_support?f_ri=59695","nofollow":true},{"id":12720,"name":"Learning Networks","url":"https://www.academia.edu/Documents/in/Learning_Networks?f_ri=59695","nofollow":true},{"id":15869,"name":"Online Learning","url":"https://www.academia.edu/Documents/in/Online_Learning?f_ri=59695","nofollow":true},{"id":30815,"name":"Latent Semantic Analysis","url":"https://www.academia.edu/Documents/in/Latent_Semantic_Analysis?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37680255" data-work_id="37680255" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37680255/Address_encoding_versus_traditional_addressing_the_state_of_play">Address encoding versus traditional addressing – the state of play</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Address encoding versus traditional addressing - the <br />state of play</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37680255" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="099f946c4c3e1495cf47da66450a8a15" rel="nofollow" data-download="{"attachment_id":57669948,"asset_id":37680255,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57669948/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="29297971" href="https://independent.academia.edu/GrahamRhind">Graham Rhind</a><script data-card-contents-for-user="29297971" type="text/json">{"id":29297971,"first_name":"Graham","last_name":"Rhind","domain_name":"independent","page_name":"GrahamRhind","display_name":"Graham Rhind","profile_url":"https://independent.academia.edu/GrahamRhind?f_ri=59695","photo":"https://0.academia-photos.com/29297971/8375787/9365397/s65_graham.rhind.jpg"}</script></span></span></li><li class="js-paper-rank-work_37680255 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37680255"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37680255, container: ".js-paper-rank-work_37680255", }); 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To accommodate this extension it is necessary to carefully consider how individual behaviors contribute to the vector field. To avoid... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36011368" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We address scaling of the "dynamic systems" approach for robot planning to multi-agent cooperation. To accommodate this extension it is necessary to carefully consider how individual behaviors contribute to the vector field. To avoid spun"ous minima and related pro biems a competition dynamics is introduced and its stability is analyzed. A system of two cooperating agents is designed, and examples are presented to illustrate the utility of this approach.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36011368" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c59a707358aa8a39ded5cbb559f24a38" rel="nofollow" data-download="{"attachment_id":55897818,"asset_id":36011368,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55897818/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="151291" href="https://berkeley.academia.edu/RuzenaBajcsy">Ruzena Bajcsy</a><script data-card-contents-for-user="151291" type="text/json">{"id":151291,"first_name":"Ruzena","last_name":"Bajcsy","domain_name":"berkeley","page_name":"RuzenaBajcsy","display_name":"Ruzena Bajcsy","profile_url":"https://berkeley.academia.edu/RuzenaBajcsy?f_ri=59695","photo":"https://0.academia-photos.com/151291/22164846/21396728/s65_ruzena.bajcsy.jpg"}</script></span></span></li><li class="js-paper-rank-work_36011368 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36011368"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36011368, container: ".js-paper-rank-work_36011368", }); 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To accommodate this extension it is necessary to carefully consider how individual behaviors contribute to the vector field. To avoid spun\"ous minima and related pro biems a competition dynamics is introduced and its stability is analyzed. A system of two cooperating agents is designed, and examples are presented to illustrate the utility of this approach.","downloadable_attachments":[{"id":55897818,"asset_id":36011368,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":151291,"first_name":"Ruzena","last_name":"Bajcsy","domain_name":"berkeley","page_name":"RuzenaBajcsy","display_name":"Ruzena Bajcsy","profile_url":"https://berkeley.academia.edu/RuzenaBajcsy?f_ri=59695","photo":"https://0.academia-photos.com/151291/22164846/21396728/s65_ruzena.bajcsy.jpg"}],"research_interests":[{"id":2424,"name":"Computational Geometry","url":"https://www.academia.edu/Documents/in/Computational_Geometry?f_ri=59695","nofollow":true},{"id":7526,"name":"Intelligent Control","url":"https://www.academia.edu/Documents/in/Intelligent_Control?f_ri=59695","nofollow":true},{"id":25600,"name":"Stability","url":"https://www.academia.edu/Documents/in/Stability?f_ri=59695","nofollow":true},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems?f_ri=59695","nofollow":true},{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695"},{"id":89919,"name":"Robots","url":"https://www.academia.edu/Documents/in/Robots?f_ri=59695"},{"id":90162,"name":"Kinematics","url":"https://www.academia.edu/Documents/in/Kinematics?f_ri=59695"},{"id":136751,"name":"Stability Analysis","url":"https://www.academia.edu/Documents/in/Stability_Analysis?f_ri=59695"},{"id":619635,"name":"Path Planning","url":"https://www.academia.edu/Documents/in/Path_Planning-1?f_ri=59695"},{"id":868912,"name":"Dynamic System","url":"https://www.academia.edu/Documents/in/Dynamic_System?f_ri=59695"},{"id":1430080,"name":"Solid Modeling","url":"https://www.academia.edu/Documents/in/Solid_Modeling?f_ri=59695"},{"id":1438264,"name":"Cooperative Agents","url":"https://www.academia.edu/Documents/in/Cooperative_Agents?f_ri=59695"},{"id":1461519,"name":"Robotics Automation","url":"https://www.academia.edu/Documents/in/Robotics_Automation?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_2275208" data-work_id="2275208" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/2275208/Stereo_vision_in_blind_navigation_assistance">Stereo vision in blind navigation assistance</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Visual impairment and blindness caused by infectious diseases has been greatly reduced, but increasing numbers of people are at risk of age-related visual impairment. Visual information is the basis for most navigational tasks, so... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_2275208" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Visual impairment and blindness caused by infectious diseases has been greatly reduced, but increasing numbers of people are at risk of age-related visual impairment. Visual information is the basis for most navigational tasks, so visually impaired individuals are at disadvantage because appropriate information about the surrounding environment is not available. With the recent advances in inclusive technology it is possible to extend the support given to people with visual impairment during their mobility. In this context we propose a system, named SmartVision, whose global objective is to give blind users the ability to move around in unfamiliar environments, whether indoor or outdoor, through a user friendly interface. This paper is focused mainly in the development of the computer vision module of the SmartVision system.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/2275208" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bb09559ba3541d3d14a4fd8904c63464" rel="nofollow" data-download="{"attachment_id":50689081,"asset_id":2275208,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50689081/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2359345" href="https://auth.academia.edu/LeontiosHadjileontiadis">Leontios Hadjileontiadis</a><script data-card-contents-for-user="2359345" type="text/json">{"id":2359345,"first_name":"Leontios","last_name":"Hadjileontiadis","domain_name":"auth","page_name":"LeontiosHadjileontiadis","display_name":"Leontios Hadjileontiadis","profile_url":"https://auth.academia.edu/LeontiosHadjileontiadis?f_ri=59695","photo":"https://0.academia-photos.com/2359345/743729/923225/s65_leontios.hadjileontiadis.jpg"}</script></span></span></li><li class="js-paper-rank-work_2275208 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="2275208"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 2275208, container: ".js-paper-rank-work_2275208", }); 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Visual information is the basis for most navigational tasks, so visually impaired individuals are at disadvantage because appropriate information about the surrounding environment is not available. With the recent advances in inclusive technology it is possible to extend the support given to people with visual impairment during their mobility. In this context we propose a system, named SmartVision, whose global objective is to give blind users the ability to move around in unfamiliar environments, whether indoor or outdoor, through a user friendly interface. This paper is focused mainly in the development of the computer vision module of the SmartVision system.","downloadable_attachments":[{"id":50689081,"asset_id":2275208,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2359345,"first_name":"Leontios","last_name":"Hadjileontiadis","domain_name":"auth","page_name":"LeontiosHadjileontiadis","display_name":"Leontios Hadjileontiadis","profile_url":"https://auth.academia.edu/LeontiosHadjileontiadis?f_ri=59695","photo":"https://0.academia-photos.com/2359345/743729/923225/s65_leontios.hadjileontiadis.jpg"}],"research_interests":[{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=59695","nofollow":true},{"id":5097,"name":"Blindness","url":"https://www.academia.edu/Documents/in/Blindness?f_ri=59695","nofollow":true},{"id":19706,"name":"Stereo Vision (Computer 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class="clearfix u-pv7x u-mb0x js-work-card work_13356113 coauthored" data-work_id="13356113" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/13356113/Night_time_neuronal_activation_of_Cluster_N_in_a_day_and_night_migrating_songbird">Night-time neuronal activation of Cluster N in a day- and night-migrating songbird</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13356113" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li 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class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_15241607 coauthored" data-work_id="15241607" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/15241607/Klobuchar_Like_Local_Model_of_Quiet_Space_Weather_GPS_Ionospheric_Delay_for_Northern_Adriatic">Klobuchar-Like Local Model of Quiet Space Weather GPS Ionospheric Delay for Northern Adriatic</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Ionospheric delay is the major source of satellite positioning system performance degradation. Designers of satellite positioning systems attempt to mitigate the impact of the ionospheric delay by deployment of correction models. For... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_15241607" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Ionospheric delay is the major source of satellite positioning system performance degradation. Designers of satellite positioning systems attempt to mitigate the impact of the ionospheric delay by deployment of correction models. For instance, the American GPS utilises a global standard (Klobuchar) model, based on the assumption that the daily distribution of GPS ionospheric delay values follows a biased cosine curve during day-time, while during the night-time the GPS ionospheric delay remains constant. Providing a compromise between computational complexity and accuracy, the Klobuchar model is capable of correcting up to 70% of actual ionospheric delay, mainly during quiet space weather conditions. Unfortunately, it provides a very poor performance during severe space weather, geomagnetic and ionospheric disturbances. In addition, a global approach in Klobuchar model development did not take into account particularities of the local ionospheric conditions that can significantly contribute to the general GPS ionospheric delay. Current research activities worldwide are concentrating on a better understanding of the observed GPS ionospheric delay dynamics and the relation to local ionosphere conditions.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/15241607" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="eb977e2c3fcbc67892263e19eb0e07f1" rel="nofollow" data-download="{"attachment_id":43406791,"asset_id":15241607,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43406791/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="34312394" href="https://independent.academia.edu/RFiljar">R. 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Designers of satellite positioning systems attempt to mitigate the impact of the ionospheric delay by deployment of correction models. For instance, the American GPS utilises a global standard (Klobuchar) model, based on the assumption that the daily distribution of GPS ionospheric delay values follows a biased cosine curve during day-time, while during the night-time the GPS ionospheric delay remains constant. Providing a compromise between computational complexity and accuracy, the Klobuchar model is capable of correcting up to 70% of actual ionospheric delay, mainly during quiet space weather conditions. Unfortunately, it provides a very poor performance during severe space weather, geomagnetic and ionospheric disturbances. In addition, a global approach in Klobuchar model development did not take into account particularities of the local ionospheric conditions that can significantly contribute to the general GPS ionospheric delay. Current research activities worldwide are concentrating on a better understanding of the observed GPS ionospheric delay dynamics and the relation to local ionosphere conditions.","downloadable_attachments":[{"id":43406791,"asset_id":15241607,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":34312394,"first_name":"R.","last_name":"Filjar","domain_name":"independent","page_name":"RFiljar","display_name":"R. 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El Colegio de San Telmo de Sevilla (1681-1847)/Andalusian Pilots for the Overseas Routes: The School of San Telmo of Seville (1681-1847)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">"Formar a buenos marinos era una tarea ardua en la Andalucía de la Edad Moderna, ya que un marino necesitaba navegar durante varios años para llegar a dominar su oficio. Además, las duras condiciones de vida en la mar, los bajos salarios... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3290870" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">"Formar a buenos marinos era una tarea ardua en la Andalucía de la Edad Moderna, ya que un marino necesitaba navegar durante varios años para llegar a dominar su oficio. Además, las duras condiciones de vida en la mar, los bajos salarios y la alta mortalidad alejaban a los individuos de esta profesión. Los pilotos de la escuela de navegación del Colegio de San Telmo fueron un elemento clave en la seguridad del tráfico marítimo entre la metrópoli y las colonias. También participaron en batallas navales contra las potencias enemigas, en especial con los ingleses. <br /><a href="http://expobus.us.es/html/santelmo" rel="nofollow">http://expobus.us.es/html/santelmo</a> <br /> <br />Training able seamen was an arduous task in Modern Age Andalusia given that a mariner had to spend several years at sea to hone his craft. Besides, the harsh conditions of life at sea, the low wages and high mortality deterred individuals from joining this profession. Pilots graduating from the navigation school of San Telmo were a key element in the increased safety of maritime traffic between the metropole and the colonies. They also participated in naval warfare against enemy states, especially the British. <br /><a href="http://expobus.us.es/html/santelmo" rel="nofollow">http://expobus.us.es/html/santelmo</a></div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3290870" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="617393d4eb119e6252ea64c95f0ce3f7" rel="nofollow" data-download="{"attachment_id":32920614,"asset_id":3290870,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32920614/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="729607" href="https://uned.academia.edu/MARTAGARC%C3%8DAGARRAL%C3%93N">MARTA GARCÍA GARRALÓN</a><script data-card-contents-for-user="729607" type="text/json">{"id":729607,"first_name":"MARTA","last_name":"GARCÍA GARRALÓN","domain_name":"uned","page_name":"MARTAGARCÍAGARRALÓN","display_name":"MARTA GARCÍA GARRALÓN","profile_url":"https://uned.academia.edu/MARTAGARC%C3%8DAGARRAL%C3%93N?f_ri=59695","photo":"https://0.academia-photos.com/729607/249255/163200560/s65_marta.garc_a_garral_n.jpg"}</script></span></span></li><li class="js-paper-rank-work_3290870 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3290870"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3290870, container: ".js-paper-rank-work_3290870", }); 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$(".js-view-count[data-work-id=3290870]").text(description); $(".js-view-count-work_3290870").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3290870").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="3290870"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="751898" rel="nofollow" href="https://www.academia.edu/Documents/in/Merchant_Pilots_In_Modern_Age">Merchant Pilots In Modern Age</a><script data-card-contents-for-ri="751898" type="text/json">{"id":751898,"name":"Merchant Pilots In Modern Age","url":"https://www.academia.edu/Documents/in/Merchant_Pilots_In_Modern_Age?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3290870]'), work: {"id":3290870,"title":"Pilotos andaluces para las rutas ultramarinas. El Colegio de San Telmo de Sevilla (1681-1847)/Andalusian Pilots for the Overseas Routes: The School of San Telmo of Seville (1681-1847)","created_at":"2013-04-14T20:00:57.415-07:00","url":"https://www.academia.edu/3290870/Pilotos_andaluces_para_las_rutas_ultramarinas_El_Colegio_de_San_Telmo_de_Sevilla_1681_1847_Andalusian_Pilots_for_the_Overseas_Routes_The_School_of_San_Telmo_of_Seville_1681_1847_?f_ri=59695","dom_id":"work_3290870","summary":"\"Formar a buenos marinos era una tarea ardua en la Andalucía de la Edad Moderna, ya que un marino necesitaba navegar durante varios años para llegar a dominar su oficio. Además, las duras condiciones de vida en la mar, los bajos salarios y la alta mortalidad alejaban a los individuos de esta profesión. Los pilotos de la escuela de navegación del Colegio de San Telmo fueron un elemento clave en la seguridad del tráfico marítimo entre la metrópoli y las colonias. También participaron en batallas navales contra las potencias enemigas, en especial con los ingleses.\r\nhttp://expobus.us.es/html/santelmo\r\n\r\nTraining able seamen was an arduous task in Modern Age Andalusia given that a mariner had to spend several years at sea to hone his craft. Besides, the harsh conditions of life at sea, the low wages and high mortality deterred individuals from joining this profession. Pilots graduating from the navigation school of San Telmo were a key element in the increased safety of maritime traffic between the metropole and the colonies. They also participated in naval warfare against enemy states, especially the British. \r\nhttp://expobus.us.es/html/santelmo","downloadable_attachments":[{"id":32920614,"asset_id":3290870,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":729607,"first_name":"MARTA","last_name":"GARCÍA GARRALÓN","domain_name":"uned","page_name":"MARTAGARCÍAGARRALÓN","display_name":"MARTA GARCÍA GARRALÓN","profile_url":"https://uned.academia.edu/MARTAGARC%C3%8DAGARRAL%C3%93N?f_ri=59695","photo":"https://0.academia-photos.com/729607/249255/163200560/s65_marta.garc_a_garral_n.jpg"}],"research_interests":[{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":751898,"name":"Merchant Pilots In Modern Age","url":"https://www.academia.edu/Documents/in/Merchant_Pilots_In_Modern_Age?f_ri=59695","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_78552562" data-work_id="78552562" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/78552562/Utilisation_des_cartes_auto_organisatrices_de_Kohonen_dans_la_recherch%C3%A9_documentaire">Utilisation des cartes auto-organisatrices de Kohonen dans la recherché documentaire</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/78552562" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a641f9c8d841fc712a306bb981b180f2" rel="nofollow" data-download="{"attachment_id":85561378,"asset_id":78552562,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/85561378/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="109093108" href="https://independent.academia.edu/guergabmohamed">guergab mohamed</a><script data-card-contents-for-user="109093108" type="text/json">{"id":109093108,"first_name":"guergab","last_name":"mohamed","domain_name":"independent","page_name":"guergabmohamed","display_name":"guergab mohamed","profile_url":"https://independent.academia.edu/guergabmohamed?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_78552562 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="78552562"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 78552562, container: ".js-paper-rank-work_78552562", }); 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$(".js-view-count[data-work-id=78552562]").text(description); $(".js-view-count-work_78552562").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_78552562").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="78552562"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="464" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Retrieval">Information Retrieval</a>, <script data-card-contents-for-ri="464" type="text/json">{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1236" rel="nofollow" href="https://www.academia.edu/Documents/in/Art">Art</a>, <script data-card-contents-for-ri="1236" type="text/json">{"id":1236,"name":"Art","url":"https://www.academia.edu/Documents/in/Art?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="26066" rel="nofollow" href="https://www.academia.edu/Documents/in/Neural_Network">Neural Network</a>, <script data-card-contents-for-ri="26066" type="text/json">{"id":26066,"name":"Neural Network","url":"https://www.academia.edu/Documents/in/Neural_Network?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a><script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=78552562]'), work: {"id":78552562,"title":"Utilisation des cartes auto-organisatrices de Kohonen dans la recherché documentaire","created_at":"2022-05-05T16:28:44.851-07:00","url":"https://www.academia.edu/78552562/Utilisation_des_cartes_auto_organisatrices_de_Kohonen_dans_la_recherch%C3%A9_documentaire?f_ri=59695","dom_id":"work_78552562","summary":null,"downloadable_attachments":[{"id":85561378,"asset_id":78552562,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":109093108,"first_name":"guergab","last_name":"mohamed","domain_name":"independent","page_name":"guergabmohamed","display_name":"guergab mohamed","profile_url":"https://independent.academia.edu/guergabmohamed?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=59695","nofollow":true},{"id":1236,"name":"Art","url":"https://www.academia.edu/Documents/in/Art?f_ri=59695","nofollow":true},{"id":26066,"name":"Neural Network","url":"https://www.academia.edu/Documents/in/Neural_Network?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":299563,"name":"Self Organization","url":"https://www.academia.edu/Documents/in/Self_Organization?f_ri=59695"},{"id":1819995,"name":"Document Retrieval","url":"https://www.academia.edu/Documents/in/Document_Retrieval?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_67887654" data-work_id="67887654" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/67887654/An_Investigation_of_the_Concerns_of_Fifth_Graders_Transitioning_to_Middle_School">An Investigation of the Concerns of Fifth Graders Transitioning to Middle School</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Entering middle school can cause apprehension for young adolescents who face many cognitive, physical, social, and emotional changes. A quantitative, descriptive study was designed to identify and explain the concerns of rising sixth... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_67887654" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Entering middle school can cause apprehension for young adolescents who face many cognitive, physical, social, and emotional changes. A quantitative, descriptive study was designed to identify and explain the concerns of rising sixth graders (n = 225) regarding their transition to the middle grades. Survey data were analyzed with regard to gender, race, and school type (i.e., inner city, urban, suburban, and rural). Undressing in front of others for P.E. was the most frequently rated area of high concern. There was a significant effect of gender on the level of concern for getting lost, changing clothes for P.E., peer pressure, being bullied, and academic performance. There was a significant effect of race on the level of concern for using a locker, having enough time to eat lunch, and going to the restroom. There was a significant effect of school type on the level of concern for making friends, belonging to the right clubs and groups, getting lost, having enough time to eat lunch,...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/67887654" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f8ab6cbf4eb03ad1045c21f80fadbc58" rel="nofollow" data-download="{"attachment_id":78566871,"asset_id":67887654,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/78566871/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="128244446" href="https://independent.academia.edu/SylviaRogers1">Sylvia Rogers</a><script data-card-contents-for-user="128244446" type="text/json">{"id":128244446,"first_name":"Sylvia","last_name":"Rogers","domain_name":"independent","page_name":"SylviaRogers1","display_name":"Sylvia Rogers","profile_url":"https://independent.academia.edu/SylviaRogers1?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_67887654 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="67887654"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 67887654, container: ".js-paper-rank-work_67887654", }); 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$(".js-view-count[data-work-id=67887654]").text(description); $(".js-view-count-work_67887654").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_67887654").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="67887654"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="221" rel="nofollow" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5187" rel="nofollow" href="https://www.academia.edu/Documents/in/Statistical_Analysis">Statistical Analysis</a>, <script data-card-contents-for-ri="5187" type="text/json">{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="25806" rel="nofollow" href="https://www.academia.edu/Documents/in/Physical_Education">Physical Education</a>, <script data-card-contents-for-ri="25806" type="text/json">{"id":25806,"name":"Physical Education","url":"https://www.academia.edu/Documents/in/Physical_Education?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a><script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=67887654]'), work: {"id":67887654,"title":"An Investigation of the Concerns of Fifth Graders Transitioning to Middle School","created_at":"2022-01-12T18:45:09.695-08:00","url":"https://www.academia.edu/67887654/An_Investigation_of_the_Concerns_of_Fifth_Graders_Transitioning_to_Middle_School?f_ri=59695","dom_id":"work_67887654","summary":"Entering middle school can cause apprehension for young adolescents who face many cognitive, physical, social, and emotional changes. A quantitative, descriptive study was designed to identify and explain the concerns of rising sixth graders (n = 225) regarding their transition to the middle grades. Survey data were analyzed with regard to gender, race, and school type (i.e., inner city, urban, suburban, and rural). Undressing in front of others for P.E. was the most frequently rated area of high concern. There was a significant effect of gender on the level of concern for getting lost, changing clothes for P.E., peer pressure, being bullied, and academic performance. There was a significant effect of race on the level of concern for using a locker, having enough time to eat lunch, and going to the restroom. There was a significant effect of school type on the level of concern for making friends, belonging to the right clubs and groups, getting lost, having enough time to eat lunch,...","downloadable_attachments":[{"id":78566871,"asset_id":67887654,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":128244446,"first_name":"Sylvia","last_name":"Rogers","domain_name":"independent","page_name":"SylviaRogers1","display_name":"Sylvia Rogers","profile_url":"https://independent.academia.edu/SylviaRogers1?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=59695","nofollow":true},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=59695","nofollow":true},{"id":25806,"name":"Physical Education","url":"https://www.academia.edu/Documents/in/Physical_Education?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":104446,"name":"Academic achievement","url":"https://www.academia.edu/Documents/in/Academic_achievement?f_ri=59695"},{"id":167936,"name":"Middle school","url":"https://www.academia.edu/Documents/in/Middle_school?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_61500890" data-work_id="61500890" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/61500890/A_one_decade_survey_of_autonomous_mobile_robot_systems">A one decade survey of autonomous mobile robot systems</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Recently, autonomous mobile robots have gained popularity in the modern world due to their relevance technology and application in real world situations. The global market for mobile robots will grow significantly over the next 20 years.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_61500890" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Recently, autonomous mobile robots have gained popularity in the modern world due to their relevance technology and application in real world situations. The global market for mobile robots will grow significantly over the next 20 years. Autonomous mobile robots are found in many fields including institutions, industry, business, hospitals, agriculture as well as private households for the purpose of improving day-today activities and services. The development of technology has increased in the requirements for mobile robots because of the services and tasks provided by them, like rescue and research operations, surveillance, carry heavy objects and so on. Researchers have conducted many works on the importance of robots, their uses, and problems. This article aims to analyze the control system of mobile robots and the way robots have the ability of moving in real-world to achieve their goals. It should be noted that there are several technological directions in a mobile robot industry. It must be observed and integrated so that the robot functions properly: Navigation systems, localization systems, detection systems (sensors) along with motion and kinematics and dynamics systems. All such systems should be united through a control unit; thus, the mission or work of mobile robots are conducted with reliability.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/61500890" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bf9cda11a77d664faeba6d7c11e7e10a" rel="nofollow" data-download="{"attachment_id":74514300,"asset_id":61500890,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74514300/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="163474776" href="https://independent.academia.edu/JournalIJECE">International Journal of Electrical and Computer Engineering (IJECE)</a><script data-card-contents-for-user="163474776" type="text/json">{"id":163474776,"first_name":"International Journal of Electrical and Computer Engineering","last_name":"(IJECE)","domain_name":"independent","page_name":"JournalIJECE","display_name":"International Journal of Electrical and Computer Engineering (IJECE)","profile_url":"https://independent.academia.edu/JournalIJECE?f_ri=59695","photo":"https://0.academia-photos.com/163474776/123357473/112705609/s65_international_journal_of_electrical_and_computer_engineering._ijece_.jpg"}</script></span></span></li><li class="js-paper-rank-work_61500890 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="61500890"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 61500890, container: ".js-paper-rank-work_61500890", }); });</script></li><li class="js-percentile-work_61500890 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 61500890; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_61500890"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_61500890 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="61500890"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 61500890; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=61500890]").text(description); $(".js-view-count-work_61500890").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_61500890").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="61500890"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="4212" rel="nofollow" href="https://www.academia.edu/Documents/in/Cognition">Cognition</a>, <script data-card-contents-for-ri="4212" type="text/json">{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10194" rel="nofollow" href="https://www.academia.edu/Documents/in/Localization">Localization</a>, <script data-card-contents-for-ri="10194" type="text/json">{"id":10194,"name":"Localization","url":"https://www.academia.edu/Documents/in/Localization?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="15119" rel="nofollow" href="https://www.academia.edu/Documents/in/Motion_Planning">Motion Planning</a>, <script data-card-contents-for-ri="15119" type="text/json">{"id":15119,"name":"Motion Planning","url":"https://www.academia.edu/Documents/in/Motion_Planning?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a><script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=61500890]'), work: {"id":61500890,"title":"A one decade survey of autonomous mobile robot systems","created_at":"2021-11-10T22:39:58.089-08:00","url":"https://www.academia.edu/61500890/A_one_decade_survey_of_autonomous_mobile_robot_systems?f_ri=59695","dom_id":"work_61500890","summary":"Recently, autonomous mobile robots have gained popularity in the modern world due to their relevance technology and application in real world situations. The global market for mobile robots will grow significantly over the next 20 years. Autonomous mobile robots are found in many fields including institutions, industry, business, hospitals, agriculture as well as private households for the purpose of improving day-today activities and services. The development of technology has increased in the requirements for mobile robots because of the services and tasks provided by them, like rescue and research operations, surveillance, carry heavy objects and so on. Researchers have conducted many works on the importance of robots, their uses, and problems. This article aims to analyze the control system of mobile robots and the way robots have the ability of moving in real-world to achieve their goals. It should be noted that there are several technological directions in a mobile robot industry. It must be observed and integrated so that the robot functions properly: Navigation systems, localization systems, detection systems (sensors) along with motion and kinematics and dynamics systems. All such systems should be united through a control unit; thus, the mission or work of mobile robots are conducted with reliability.","downloadable_attachments":[{"id":74514300,"asset_id":61500890,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":163474776,"first_name":"International Journal of Electrical and Computer Engineering","last_name":"(IJECE)","domain_name":"independent","page_name":"JournalIJECE","display_name":"International Journal of Electrical and Computer Engineering (IJECE)","profile_url":"https://independent.academia.edu/JournalIJECE?f_ri=59695","photo":"https://0.academia-photos.com/163474776/123357473/112705609/s65_international_journal_of_electrical_and_computer_engineering._ijece_.jpg"}],"research_interests":[{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=59695","nofollow":true},{"id":10194,"name":"Localization","url":"https://www.academia.edu/Documents/in/Localization?f_ri=59695","nofollow":true},{"id":15119,"name":"Motion Planning","url":"https://www.academia.edu/Documents/in/Motion_Planning?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":113706,"name":"Autonomous Mobile Robots","url":"https://www.academia.edu/Documents/in/Autonomous_Mobile_Robots?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_56938951" data-work_id="56938951" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/56938951/Combining_context_ontology_and_landmarks_for_personal_information_management">Combining context ontology and landmarks for personal information management</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this paper we present our work on personal information management by exploiting both context ontology and landmarks. The context model introduced is based on location, agent, time, and category of information corresponding to the 4Ws:... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_56938951" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper we present our work on personal information management by exploiting both context ontology and landmarks. The context model introduced is based on location, agent, time, and category of information corresponding to the 4Ws: where, who, when, and what. Each of them represents one dimension of an information item. Semantics of each dimension are explicitly described in the ontology for personal information items along with their interrelation. Therefore a necessary modification of the LATCH model has been investigated in-depth for its usage for personal information management and further retrieval. Navigation in the information space is supported by the use of landmarks.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/56938951" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="27cad8d18601808469d0f799aea2465f" rel="nofollow" data-download="{"attachment_id":72080136,"asset_id":56938951,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/72080136/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2692457" href="https://independent.academia.edu/khalidlatif">khalid latif</a><script data-card-contents-for-user="2692457" type="text/json">{"id":2692457,"first_name":"khalid","last_name":"latif","domain_name":"independent","page_name":"khalidlatif","display_name":"khalid latif","profile_url":"https://independent.academia.edu/khalidlatif?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_56938951 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="56938951"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 56938951, container: ".js-paper-rank-work_56938951", }); 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$(".js-view-count[data-work-id=56938951]").text(description); $(".js-view-count-work_56938951").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_56938951").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="56938951"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">10</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="464" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Retrieval">Information Retrieval</a>, <script data-card-contents-for-ri="464" type="text/json">{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1453" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Management">Information Management</a>, <script data-card-contents-for-ri="1453" type="text/json">{"id":1453,"name":"Information Management","url":"https://www.academia.edu/Documents/in/Information_Management?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11123" rel="nofollow" href="https://www.academia.edu/Documents/in/Personal_Information_Management">Personal Information Management</a>, <script data-card-contents-for-ri="11123" type="text/json">{"id":11123,"name":"Personal Information Management","url":"https://www.academia.edu/Documents/in/Personal_Information_Management?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="51860" rel="nofollow" href="https://www.academia.edu/Documents/in/Ontologies">Ontologies</a><script data-card-contents-for-ri="51860" type="text/json">{"id":51860,"name":"Ontologies","url":"https://www.academia.edu/Documents/in/Ontologies?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=56938951]'), work: {"id":56938951,"title":"Combining context ontology and landmarks for personal information management","created_at":"2021-10-10T08:07:51.291-07:00","url":"https://www.academia.edu/56938951/Combining_context_ontology_and_landmarks_for_personal_information_management?f_ri=59695","dom_id":"work_56938951","summary":"In this paper we present our work on personal information management by exploiting both context ontology and landmarks. The context model introduced is based on location, agent, time, and category of information corresponding to the 4Ws: where, who, when, and what. Each of them represents one dimension of an information item. Semantics of each dimension are explicitly described in the ontology for personal information items along with their interrelation. Therefore a necessary modification of the LATCH model has been investigated in-depth for its usage for personal information management and further retrieval. Navigation in the information space is supported by the use of landmarks.","downloadable_attachments":[{"id":72080136,"asset_id":56938951,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2692457,"first_name":"khalid","last_name":"latif","domain_name":"independent","page_name":"khalidlatif","display_name":"khalid latif","profile_url":"https://independent.academia.edu/khalidlatif?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=59695","nofollow":true},{"id":1453,"name":"Information Management","url":"https://www.academia.edu/Documents/in/Information_Management?f_ri=59695","nofollow":true},{"id":11123,"name":"Personal Information Management","url":"https://www.academia.edu/Documents/in/Personal_Information_Management?f_ri=59695","nofollow":true},{"id":51860,"name":"Ontologies","url":"https://www.academia.edu/Documents/in/Ontologies?f_ri=59695","nofollow":true},{"id":52002,"name":"File Systems","url":"https://www.academia.edu/Documents/in/File_Systems?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":134028,"name":"Information Space","url":"https://www.academia.edu/Documents/in/Information_Space?f_ri=59695"},{"id":348010,"name":"Context Modeling","url":"https://www.academia.edu/Documents/in/Context_Modeling?f_ri=59695"},{"id":372699,"name":"Information Analysis","url":"https://www.academia.edu/Documents/in/Information_Analysis?f_ri=59695"},{"id":1352903,"name":"Context Model","url":"https://www.academia.edu/Documents/in/Context_Model?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_49022530" data-work_id="49022530" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/49022530/A_Universal_Approach_for_Processing_any_MEMS_Inertial_Sensor_Configuration_for_Land_Vehicle_Navigation">A Universal Approach for Processing any MEMS Inertial Sensor Configuration for Land-Vehicle Navigation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Recent navigation systems integrating GPS with Micro-Electro-Mechanical Systems (MEMS) Inertial Measuring Units (IMUs) have shown promising results for several applications based on low-cost devices such as vehicular and personal... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_49022530" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Recent navigation systems integrating GPS with Micro-Electro-Mechanical Systems (MEMS) Inertial Measuring Units (IMUs) have shown promising results for several applications based on low-cost devices such as vehicular and personal navigation. However, as a trend in the navigation market, some applications require further reductions in size and cost. To meet such requirements, a MEMS full IMU configuration (three gyros and three accelerometers) may be simplified. In this context, different partial IMU configurations such as one gyro plus three accelerometers or one gyro plus two accelerometers could be investigated. The main challenge in this case is to develop a specific navigation algorithm for each configuration since this is a time-consuming and costly task. In this paper, a universal approach for processing any MEMS sensor configuration for land vehicular navigation is introduced. The proposed method is based on the assumption that the omitted sensors provide relatively less navi...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/49022530" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3bf2445ce477b7bf38173c56b8d9ba51" rel="nofollow" data-download="{"attachment_id":67407962,"asset_id":49022530,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/67407962/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="41636810" href="https://ucalgary.academia.edu/NaserElSheimy">Naser El-Sheimy</a><script data-card-contents-for-user="41636810" type="text/json">{"id":41636810,"first_name":"Naser","last_name":"El-Sheimy","domain_name":"ucalgary","page_name":"NaserElSheimy","display_name":"Naser El-Sheimy","profile_url":"https://ucalgary.academia.edu/NaserElSheimy?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_49022530 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="49022530"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 49022530, container: ".js-paper-rank-work_49022530", }); 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$(".js-view-count[data-work-id=49022530]").text(description); $(".js-view-count-work_49022530").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_49022530").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="49022530"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="10003" rel="nofollow" href="https://www.academia.edu/Documents/in/Inertial_navigation">Inertial navigation</a>, <script data-card-contents-for-ri="10003" type="text/json">{"id":10003,"name":"Inertial navigation","url":"https://www.academia.edu/Documents/in/Inertial_navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="162010" rel="nofollow" href="https://www.academia.edu/Documents/in/Geomatic_Engineering">Geomatic Engineering</a>, <script data-card-contents-for-ri="162010" type="text/json">{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="302691" rel="nofollow" href="https://www.academia.edu/Documents/in/Configuration">Configuration</a><script data-card-contents-for-ri="302691" type="text/json">{"id":302691,"name":"Configuration","url":"https://www.academia.edu/Documents/in/Configuration?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=49022530]'), work: {"id":49022530,"title":"A Universal Approach for Processing any MEMS Inertial Sensor Configuration for Land-Vehicle Navigation","created_at":"2021-05-23T09:02:37.597-07:00","url":"https://www.academia.edu/49022530/A_Universal_Approach_for_Processing_any_MEMS_Inertial_Sensor_Configuration_for_Land_Vehicle_Navigation?f_ri=59695","dom_id":"work_49022530","summary":"Recent navigation systems integrating GPS with Micro-Electro-Mechanical Systems (MEMS) Inertial Measuring Units (IMUs) have shown promising results for several applications based on low-cost devices such as vehicular and personal navigation. However, as a trend in the navigation market, some applications require further reductions in size and cost. To meet such requirements, a MEMS full IMU configuration (three gyros and three accelerometers) may be simplified. In this context, different partial IMU configurations such as one gyro plus three accelerometers or one gyro plus two accelerometers could be investigated. The main challenge in this case is to develop a specific navigation algorithm for each configuration since this is a time-consuming and costly task. In this paper, a universal approach for processing any MEMS sensor configuration for land vehicular navigation is introduced. The proposed method is based on the assumption that the omitted sensors provide relatively less navi...","downloadable_attachments":[{"id":67407962,"asset_id":49022530,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":41636810,"first_name":"Naser","last_name":"El-Sheimy","domain_name":"ucalgary","page_name":"NaserElSheimy","display_name":"Naser El-Sheimy","profile_url":"https://ucalgary.academia.edu/NaserElSheimy?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":10003,"name":"Inertial navigation","url":"https://www.academia.edu/Documents/in/Inertial_navigation?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true},{"id":302691,"name":"Configuration","url":"https://www.academia.edu/Documents/in/Configuration?f_ri=59695","nofollow":true},{"id":965809,"name":"Inertial Sensor","url":"https://www.academia.edu/Documents/in/Inertial_Sensor?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_48282745" data-work_id="48282745" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/48282745/Heading_aided_odometry_and_range_data_integration_for_positioning_of_autonomous_mining_vehicles">Heading-aided odometry and range-data integration for positioning of autonomous mining vehicles</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">An enhanced odometry technique based on the heading sensor called "clino-gyro " that fuses the data from a fiber optic gyro and a simple inclinometer is proposed. I n the proposed scheme, inclinometer data are used t o compensate f o r... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_48282745" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">An enhanced odometry technique based on the heading sensor called "clino-gyro " that fuses the data from a fiber optic gyro and a simple inclinometer is proposed. I n the proposed scheme, inclinometer data are used t o compensate f o r the gyro drift due t o roll/pitch perturbation of the vehicle while moving o n the rough terrain. Providing independent information about the rotation (yaw) of the vehicle, clino-gyro is used t o correct differential odometry adversely affected by the wheel slippage. Position estimation using this technique can be improved significantly, however for the long t e r m applications it still suffers from the drifts of the gyro and translational components of wheel skidding. Fusing this enhanced odometry with the data from environmental sensors (sonars, laser range finder) through Kalmanfilter-type procedure a reliable positioning can be obtained. This technique has been implemented on-board of an experimental skid-steered vehicle. Obtained precision is suficient f o r navigation in underground mining drifts. For open-pit mining applications further improvements can be obtained by fusing proposed localization algorithm with GPS data.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/48282745" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bc4d6bb64dfb84d905c11e496cd9119b" rel="nofollow" data-download="{"attachment_id":66977344,"asset_id":48282745,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/66977344/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="7309310" href="https://etsmtl.academia.edu/VladimirPolotski">Vladimir Polotski</a><script data-card-contents-for-user="7309310" type="text/json">{"id":7309310,"first_name":"Vladimir","last_name":"Polotski","domain_name":"etsmtl","page_name":"VladimirPolotski","display_name":"Vladimir Polotski","profile_url":"https://etsmtl.academia.edu/VladimirPolotski?f_ri=59695","photo":"https://0.academia-photos.com/7309310/14653137/15493361/s65_vladimir.polotski.jpg"}</script></span></span></li><li class="js-paper-rank-work_48282745 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="48282745"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 48282745, container: ".js-paper-rank-work_48282745", }); 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$(".js-view-count[data-work-id=48282745]").text(description); $(".js-view-count-work_48282745").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_48282745").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="48282745"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="18496" rel="nofollow" href="https://www.academia.edu/Documents/in/Mining">Mining</a>, <script data-card-contents-for-ri="18496" type="text/json">{"id":18496,"name":"Mining","url":"https://www.academia.edu/Documents/in/Mining?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="25384" rel="nofollow" href="https://www.academia.edu/Documents/in/Global_Positioning_System">Global Positioning System</a>, <script data-card-contents-for-ri="25384" type="text/json">{"id":25384,"name":"Global Positioning System","url":"https://www.academia.edu/Documents/in/Global_Positioning_System?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="30791" rel="nofollow" href="https://www.academia.edu/Documents/in/Path_planning">Path planning</a>, <script data-card-contents-for-ri="30791" type="text/json">{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="49146" rel="nofollow" href="https://www.academia.edu/Documents/in/Kalman_Filter">Kalman Filter</a><script data-card-contents-for-ri="49146" type="text/json">{"id":49146,"name":"Kalman Filter","url":"https://www.academia.edu/Documents/in/Kalman_Filter?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=48282745]'), work: {"id":48282745,"title":"Heading-aided odometry and range-data integration for positioning of autonomous mining vehicles","created_at":"2021-05-04T10:27:53.570-07:00","url":"https://www.academia.edu/48282745/Heading_aided_odometry_and_range_data_integration_for_positioning_of_autonomous_mining_vehicles?f_ri=59695","dom_id":"work_48282745","summary":"An enhanced odometry technique based on the heading sensor called \"clino-gyro \" that fuses the data from a fiber optic gyro and a simple inclinometer is proposed. I n the proposed scheme, inclinometer data are used t o compensate f o r the gyro drift due t o roll/pitch perturbation of the vehicle while moving o n the rough terrain. Providing independent information about the rotation (yaw) of the vehicle, clino-gyro is used t o correct differential odometry adversely affected by the wheel slippage. Position estimation using this technique can be improved significantly, however for the long t e r m applications it still suffers from the drifts of the gyro and translational components of wheel skidding. Fusing this enhanced odometry with the data from environmental sensors (sonars, laser range finder) through Kalmanfilter-type procedure a reliable positioning can be obtained. This technique has been implemented on-board of an experimental skid-steered vehicle. Obtained precision is suficient f o r navigation in underground mining drifts. For open-pit mining applications further improvements can be obtained by fusing proposed localization algorithm with GPS data.","downloadable_attachments":[{"id":66977344,"asset_id":48282745,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":7309310,"first_name":"Vladimir","last_name":"Polotski","domain_name":"etsmtl","page_name":"VladimirPolotski","display_name":"Vladimir Polotski","profile_url":"https://etsmtl.academia.edu/VladimirPolotski?f_ri=59695","photo":"https://0.academia-photos.com/7309310/14653137/15493361/s65_vladimir.polotski.jpg"}],"research_interests":[{"id":18496,"name":"Mining","url":"https://www.academia.edu/Documents/in/Mining?f_ri=59695","nofollow":true},{"id":25384,"name":"Global Positioning System","url":"https://www.academia.edu/Documents/in/Global_Positioning_System?f_ri=59695","nofollow":true},{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695","nofollow":true},{"id":49146,"name":"Kalman Filter","url":"https://www.academia.edu/Documents/in/Kalman_Filter?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":65971,"name":"Control Applications","url":"https://www.academia.edu/Documents/in/Control_Applications?f_ri=59695"},{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695"},{"id":143115,"name":"Sensor Fusion","url":"https://www.academia.edu/Documents/in/Sensor_Fusion?f_ri=59695"},{"id":580733,"name":"Fiber Optic","url":"https://www.academia.edu/Documents/in/Fiber_Optic?f_ri=59695"},{"id":619635,"name":"Path Planning","url":"https://www.academia.edu/Documents/in/Path_Planning-1?f_ri=59695"},{"id":877397,"name":"Optical Fibers","url":"https://www.academia.edu/Documents/in/Optical_Fibers?f_ri=59695"},{"id":1222660,"name":"Inclinometer","url":"https://www.academia.edu/Documents/in/Inclinometer?f_ri=59695"},{"id":1660912,"name":"Yaw","url":"https://www.academia.edu/Documents/in/Yaw?f_ri=59695"},{"id":2003373,"name":"Odometry","url":"https://www.academia.edu/Documents/in/Odometry?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35068625" data-work_id="35068625" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35068625/Innocent_Passage_in_the_Territorial_Sea_Within_the_Framework_of_the_Law_of_the_Sea_Convention_KMI_International_Journal_of_Maritime_Affairs_and_Fisheries_Vol_10_Issue_1_pp_1_14_">Innocent Passage in the Territorial Sea Within the Framework of the Law of the Sea Convention - (KMI International Journal of Maritime Affairs and Fisheries, Vol.10, Issue 1, pp. 1-14)</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35068625" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="434d5ad86151272da1937414a9a6bbe5" rel="nofollow" data-download="{"attachment_id":58077221,"asset_id":35068625,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen 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Leucci","profile_url":"https://uit.academia.edu/PierandreaLeucci?f_ri=59695","photo":"https://0.academia-photos.com/5387617/2364618/6383625/s65_pierandrea.leucci.jpg"}</script></span></span></li><li class="js-paper-rank-work_35068625 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35068625"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35068625, container: ".js-paper-rank-work_35068625", }); });</script></li><li class="js-percentile-work_35068625 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35068625; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = 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planning of an indoor mobile robot</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Ahstract-In this paper, a software simulation model is developed for a two wheels driven mobile robot motion controller that can navigate the robot safely through an unknown environment. The work involves the design of a controller, which... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8851238" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Ahstract-In this paper, a software simulation model is developed for a two wheels driven mobile robot motion controller that can navigate the robot safely through an unknown environment. The work involves the design of a controller, which has four functions: motion control; obstacle avoidance; self-location; and path planning both global and local. The proposed controller is responsible for the mobile robot navigation after it generates a trajectory between start and goal points. Also it enables the robot to operate successfully in the presence of various obstacles present in any user built maps. The mobile robot is able to locate its position on any given map. The dynamic of the mobile robot is examined and the time constant of the two motors, which affects the direction of the mobile robot motion, is controlled. Obstacle avoidance is implemented with Fuzzy Logic Controller. The numerical experiments demonstrated that the indoor robot navigated successfully in tight corridors, avoided obstacles and dealt with a variety of world maps with various irregular wall shapes that were presented to it.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8851238" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="be871d18dfc07a1adc8cfbe929cd0bed" rel="nofollow" data-download="{"attachment_id":47981648,"asset_id":8851238,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47981648/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="19324614" href="https://independent.academia.edu/SibaSharef">Siba Sharef</a><script data-card-contents-for-user="19324614" type="text/json">{"id":19324614,"first_name":"Siba","last_name":"Sharef","domain_name":"independent","page_name":"SibaSharef","display_name":"Siba Sharef","profile_url":"https://independent.academia.edu/SibaSharef?f_ri=59695","photo":"https://0.academia-photos.com/19324614/5818564/6611542/s65_siba.sharef.jpg_oh_e297c3225025c59588b88a85d8455630_oe_54efc0aa___gda___1424024603_b68464d4b686bea60c17229ab2e2543c"}</script></span></span></li><li class="js-paper-rank-work_8851238 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8851238"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8851238, container: ".js-paper-rank-work_8851238", }); 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data-card-contents-for-ri="17352" type="text/json">{"id":17352,"name":"Space Technology","url":"https://www.academia.edu/Documents/in/Space_Technology?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="26870" rel="nofollow" href="https://www.academia.edu/Documents/in/Image_segmentation">Image segmentation</a>, <script data-card-contents-for-ri="26870" type="text/json">{"id":26870,"name":"Image segmentation","url":"https://www.academia.edu/Documents/in/Image_segmentation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="37884" rel="nofollow" href="https://www.academia.edu/Documents/in/Space_Exploration">Space Exploration</a><script data-card-contents-for-ri="37884" type="text/json">{"id":37884,"name":"Space Exploration","url":"https://www.academia.edu/Documents/in/Space_Exploration?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: 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way-finding behavior. Darken and Cevik [1] proved that augmentations such as direction indicators, maps... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_22209356" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Prior research on real-world way-finding and environmental design principles has shown that effective virtual design supports skilled way-finding behavior. Darken and Cevik [1] proved that augmentations such as direction indicators, maps and path restriction greatly improve wayfinding performance and achieve overall user satisfaction when represented in large-scale virtual structures. This study includes a control variable (screen size of a mobile device) that was not previously considered as a means in improving wayfinding given the increased use of 3D maps for mobile devices as navigation aids. A subjective experiment was carried out in order to determine the user preferences. The result indicated that the screen size of mobile devices suitable for navigation aid is directly related to the perceived effectiveness and that pictorially realistic satellite imagery that allows 3D view manipulation does not depend on screen size. Through an artificial neural network, the users' perception was compared to the screen size of mobile devices and the analysis showed that medium to large screen sized mobile devices are most commonly used for navigation and that the small screen of mobile devices was not affected by the presence or absence of 3D effects in monocular static displays.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/22209356" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="553c80b89ca17b179c183ff37b25ec5f" rel="nofollow" data-download="{"attachment_id":42863511,"asset_id":22209356,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/42863511/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="39120753" href="https://iium.academia.edu/AdamuAbubakar">Adamu Abubakar</a><script data-card-contents-for-user="39120753" type="text/json">{"id":39120753,"first_name":"Adamu","last_name":"Abubakar","domain_name":"iium","page_name":"AdamuAbubakar","display_name":"Adamu Abubakar","profile_url":"https://iium.academia.edu/AdamuAbubakar?f_ri=59695","photo":"https://0.academia-photos.com/39120753/11316011/12980933/s65_adamu.abubakar.png"}</script></span></span></li><li class="js-paper-rank-work_22209356 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="22209356"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 22209356, container: ".js-paper-rank-work_22209356", }); 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$(".js-view-count[data-work-id=22209356]").text(description); $(".js-view-count-work_22209356").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_22209356").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="22209356"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="54123" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Neural_Networks">Artificial Neural Networks</a>, <script data-card-contents-for-ri="54123" type="text/json">{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a><script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=22209356]'), work: {"id":22209356,"title":"Optimizing Three-Dimensional (3D) Map View on Mobile Devices as Navigation Aids Using Artificial Neural Network","created_at":"2016-02-20T01:03:25.573-08:00","url":"https://www.academia.edu/22209356/Optimizing_Three_Dimensional_3D_Map_View_on_Mobile_Devices_as_Navigation_Aids_Using_Artificial_Neural_Network?f_ri=59695","dom_id":"work_22209356","summary":"Prior research on real-world way-finding and environmental design principles has shown that effective virtual design supports skilled way-finding behavior. Darken and Cevik [1] proved that augmentations such as direction indicators, maps and path restriction greatly improve wayfinding performance and achieve overall user satisfaction when represented in large-scale virtual structures. This study includes a control variable (screen size of a mobile device) that was not previously considered as a means in improving wayfinding given the increased use of 3D maps for mobile devices as navigation aids. A subjective experiment was carried out in order to determine the user preferences. The result indicated that the screen size of mobile devices suitable for navigation aid is directly related to the perceived effectiveness and that pictorially realistic satellite imagery that allows 3D view manipulation does not depend on screen size. Through an artificial neural network, the users' perception was compared to the screen size of mobile devices and the analysis showed that medium to large screen sized mobile devices are most commonly used for navigation and that the small screen of mobile devices was not affected by the presence or absence of 3D effects in monocular static displays.","downloadable_attachments":[{"id":42863511,"asset_id":22209356,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":39120753,"first_name":"Adamu","last_name":"Abubakar","domain_name":"iium","page_name":"AdamuAbubakar","display_name":"Adamu Abubakar","profile_url":"https://iium.academia.edu/AdamuAbubakar?f_ri=59695","photo":"https://0.academia-photos.com/39120753/11316011/12980933/s65_adamu.abubakar.png"}],"research_interests":[{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27480215 coauthored" data-work_id="27480215" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/27480215/Wayfinding_Behaviour_in_Down_Syndrome_A_Study_with_Virtual_Environments">Wayfinding Behaviour in Down Syndrome: A Study with Virtual Environments</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button 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u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="51625678" href="https://independent.academia.edu/PascalSockeel">Pascal Sockeel</a><script data-card-contents-for-user="51625678" type="text/json">{"id":51625678,"first_name":"Pascal","last_name":"Sockeel","domain_name":"independent","page_name":"PascalSockeel","display_name":"Pascal Sockeel","profile_url":"https://independent.academia.edu/PascalSockeel?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-27480215">+2</span><div class="hidden js-additional-users-27480215"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/EmilyFarran">Emily Farran</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://sheffield.academia.edu/MarkBlades">Mark Blades</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-27480215'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-27480215').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_27480215 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="27480215"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 27480215, container: ".js-paper-rank-work_27480215", }); });</script></li><li class="js-percentile-work_27480215 InlineList-item InlineList-item--bordered 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data-has-card-for-ri="22506" rel="nofollow" href="https://www.academia.edu/Documents/in/Adolescent">Adolescent</a>, <script data-card-contents-for-ri="22506" type="text/json">{"id":22506,"name":"Adolescent","url":"https://www.academia.edu/Documents/in/Adolescent?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="37413" rel="nofollow" href="https://www.academia.edu/Documents/in/Down_Syndrome">Down Syndrome</a>, <script data-card-contents-for-ri="37413" type="text/json">{"id":37413,"name":"Down Syndrome","url":"https://www.academia.edu/Documents/in/Down_Syndrome?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="43774" rel="nofollow" href="https://www.academia.edu/Documents/in/Learning">Learning</a><script data-card-contents-for-ri="43774" type="text/json">{"id":43774,"name":"Learning","url":"https://www.academia.edu/Documents/in/Learning?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ 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js-work-link" href="https://www.academia.edu/70586296/Randomized_model_predictive_control_for_robot_navigation">Randomized model predictive control for robot navigation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The paper suggests a new approach to navigation of mobile robots, based on nonlinear model predictive control and using a navigation function as a control Lyapunov function. In this approach, the nonlinear optimal control problem is... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_70586296" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The paper suggests a new approach to navigation of mobile robots, based on nonlinear model predictive control and using a navigation function as a control Lyapunov function. In this approach, the nonlinear optimal control problem is treated using randomized algorithms. The advantage of the proposed combination of navigation functions for robot motion planning with randomized algorithms within an MPC framework, is that the control design offers stability by design, is platform independent, and allows the designer to tradeoff performance for (computation) speed, according to the application requirements.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/70586296" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3a7b6c0f630e15a481220aa47267de09" rel="nofollow" data-download="{"attachment_id":80276786,"asset_id":70586296,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80276786/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="49926282" href="https://independent.academia.edu/TannerHerbert">Herbert Tanner</a><script data-card-contents-for-user="49926282" type="text/json">{"id":49926282,"first_name":"Herbert","last_name":"Tanner","domain_name":"independent","page_name":"TannerHerbert","display_name":"Herbert Tanner","profile_url":"https://independent.academia.edu/TannerHerbert?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_70586296 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="70586296"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 70586296, container: ".js-paper-rank-work_70586296", }); });</script></li><li class="js-percentile-work_70586296 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70586296; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_70586296"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_70586296 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="70586296"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70586296; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70586296]").text(description); $(".js-view-count-work_70586296").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_70586296").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="70586296"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2200" rel="nofollow" href="https://www.academia.edu/Documents/in/Optimal_Control">Optimal Control</a>, <script data-card-contents-for-ri="2200" type="text/json">{"id":2200,"name":"Optimal Control","url":"https://www.academia.edu/Documents/in/Optimal_Control?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4219" rel="nofollow" href="https://www.academia.edu/Documents/in/Model_Predictive_Control">Model Predictive Control</a>, <script data-card-contents-for-ri="4219" type="text/json">{"id":4219,"name":"Model Predictive Control","url":"https://www.academia.edu/Documents/in/Model_Predictive_Control?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="15119" rel="nofollow" href="https://www.academia.edu/Documents/in/Motion_Planning">Motion Planning</a>, <script data-card-contents-for-ri="15119" type="text/json">{"id":15119,"name":"Motion Planning","url":"https://www.academia.edu/Documents/in/Motion_Planning?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="25600" rel="nofollow" href="https://www.academia.edu/Documents/in/Stability">Stability</a><script data-card-contents-for-ri="25600" type="text/json">{"id":25600,"name":"Stability","url":"https://www.academia.edu/Documents/in/Stability?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=70586296]'), work: {"id":70586296,"title":"Randomized model predictive control for robot navigation","created_at":"2022-02-05T11:40:04.298-08:00","url":"https://www.academia.edu/70586296/Randomized_model_predictive_control_for_robot_navigation?f_ri=59695","dom_id":"work_70586296","summary":"The paper suggests a new approach to navigation of mobile robots, based on nonlinear model predictive control and using a navigation function as a control Lyapunov function. In this approach, the nonlinear optimal control problem is treated using randomized algorithms. The advantage of the proposed combination of navigation functions for robot motion planning with randomized algorithms within an MPC framework, is that the control design offers stability by design, is platform independent, and allows the designer to tradeoff performance for (computation) speed, according to the application requirements.","downloadable_attachments":[{"id":80276786,"asset_id":70586296,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":49926282,"first_name":"Herbert","last_name":"Tanner","domain_name":"independent","page_name":"TannerHerbert","display_name":"Herbert Tanner","profile_url":"https://independent.academia.edu/TannerHerbert?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2200,"name":"Optimal Control","url":"https://www.academia.edu/Documents/in/Optimal_Control?f_ri=59695","nofollow":true},{"id":4219,"name":"Model Predictive Control","url":"https://www.academia.edu/Documents/in/Model_Predictive_Control?f_ri=59695","nofollow":true},{"id":15119,"name":"Motion Planning","url":"https://www.academia.edu/Documents/in/Motion_Planning?f_ri=59695","nofollow":true},{"id":25600,"name":"Stability","url":"https://www.academia.edu/Documents/in/Stability?f_ri=59695","nofollow":true},{"id":30791,"name":"Path planning","url":"https://www.academia.edu/Documents/in/Path_planning?f_ri=59695"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695"},{"id":179654,"name":"Mobile Robot","url":"https://www.academia.edu/Documents/in/Mobile_Robot?f_ri=59695"},{"id":195042,"name":"Random Processes","url":"https://www.academia.edu/Documents/in/Random_Processes?f_ri=59695"},{"id":204472,"name":"Predictive models","url":"https://www.academia.edu/Documents/in/Predictive_models?f_ri=59695"},{"id":559966,"name":"Randomized Algorithm","url":"https://www.academia.edu/Documents/in/Randomized_Algorithm?f_ri=59695"},{"id":619635,"name":"Path Planning","url":"https://www.academia.edu/Documents/in/Path_Planning-1?f_ri=59695"},{"id":1311887,"name":"Nonlinear Optimization","url":"https://www.academia.edu/Documents/in/Nonlinear_Optimization?f_ri=59695"},{"id":1321016,"name":"Predictive Control","url":"https://www.academia.edu/Documents/in/Predictive_Control?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_51837358" data-work_id="51837358" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/51837358/Autonomous_Navigation_of_Intelligent_Vehicles_using_Vision_Based_Method">Autonomous Navigation of Intelligent Vehicles using Vision Based Method</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Intelligent vehicles are replacing conventional vehicles because these offer many advantages. For such vehicles to work successfully, self position of vehicle is of utmost priority. Localization of intelligent vehicles covers lot many... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_51837358" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Intelligent vehicles are replacing conventional vehicles because these offer many advantages. For such vehicles to work successfully, self position of vehicle is of utmost priority. Localization of intelligent vehicles covers lot many methods. The methods are progressively improving for accurate localization. Wireless signals, markers based localization and RFID tag based localization are some of many methods used for localization. In this paper, GPS is used to localize an intelligent vehicle and vision based methods are used in accurate and efficient localization of intelligent vehicles</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/51837358" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0d2a580a30d6de98a36d40a76039cbf7" rel="nofollow" data-download="{"attachment_id":69382008,"asset_id":51837358,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/69382008/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="39122404" href="https://iaeme.academia.edu/publication">IAEME Publication</a><script data-card-contents-for-user="39122404" type="text/json">{"id":39122404,"first_name":"IAEME","last_name":"Publication","domain_name":"iaeme","page_name":"publication","display_name":"IAEME Publication","profile_url":"https://iaeme.academia.edu/publication?f_ri=59695","photo":"https://0.academia-photos.com/39122404/12178523/13563629/s65_iaeme.publication.jpg"}</script></span></span></li><li class="js-paper-rank-work_51837358 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="51837358"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 51837358, container: ".js-paper-rank-work_51837358", }); });</script></li><li class="js-percentile-work_51837358 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 51837358; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_51837358"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_51837358 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="51837358"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 51837358; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=51837358]").text(description); $(".js-view-count-work_51837358").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_51837358").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="51837358"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="923" rel="nofollow" href="https://www.academia.edu/Documents/in/Technology">Technology</a>, <script data-card-contents-for-ri="923" type="text/json">{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2851" rel="nofollow" href="https://www.academia.edu/Documents/in/RFID">RFID</a>, <script data-card-contents-for-ri="2851" type="text/json">{"id":2851,"name":"RFID","url":"https://www.academia.edu/Documents/in/RFID?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4863" rel="nofollow" href="https://www.academia.edu/Documents/in/GPS_Applications">GPS Applications</a>, <script data-card-contents-for-ri="4863" type="text/json">{"id":4863,"name":"GPS Applications","url":"https://www.academia.edu/Documents/in/GPS_Applications?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="22688" rel="nofollow" href="https://www.academia.edu/Documents/in/Electronics_and_communication">Electronics and communication</a><script data-card-contents-for-ri="22688" type="text/json">{"id":22688,"name":"Electronics and communication","url":"https://www.academia.edu/Documents/in/Electronics_and_communication?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=51837358]'), work: {"id":51837358,"title":"Autonomous Navigation of Intelligent Vehicles using Vision Based Method","created_at":"2021-09-11T05:03:22.096-07:00","url":"https://www.academia.edu/51837358/Autonomous_Navigation_of_Intelligent_Vehicles_using_Vision_Based_Method?f_ri=59695","dom_id":"work_51837358","summary":"Intelligent vehicles are replacing conventional vehicles because these offer many advantages. For such vehicles to work successfully, self position of vehicle is of utmost priority. Localization of intelligent vehicles covers lot many methods. The methods are progressively improving for accurate localization. Wireless signals, markers based localization and RFID tag based localization are some of many methods used for localization. In this paper, GPS is used to localize an intelligent vehicle and vision based methods are used in accurate and efficient localization of intelligent vehicles","downloadable_attachments":[{"id":69382008,"asset_id":51837358,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":39122404,"first_name":"IAEME","last_name":"Publication","domain_name":"iaeme","page_name":"publication","display_name":"IAEME Publication","profile_url":"https://iaeme.academia.edu/publication?f_ri=59695","photo":"https://0.academia-photos.com/39122404/12178523/13563629/s65_iaeme.publication.jpg"}],"research_interests":[{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology?f_ri=59695","nofollow":true},{"id":2851,"name":"RFID","url":"https://www.academia.edu/Documents/in/RFID?f_ri=59695","nofollow":true},{"id":4863,"name":"GPS Applications","url":"https://www.academia.edu/Documents/in/GPS_Applications?f_ri=59695","nofollow":true},{"id":22688,"name":"Electronics and communication","url":"https://www.academia.edu/Documents/in/Electronics_and_communication?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":79114,"name":"Vision Based Navigation","url":"https://www.academia.edu/Documents/in/Vision_Based_Navigation?f_ri=59695"},{"id":104979,"name":"Ancient Navigation","url":"https://www.academia.edu/Documents/in/Ancient_Navigation?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35764818" data-work_id="35764818" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35764818/Browsing_Semantic_Data_in_Slovakia">Browsing Semantic Data in Slovakia</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Semantic data browsing is important task for open and governmental data in behalf of public control. There are many projects and solutions regarding semantic data browsing and navigation, but despite the fact, in Slovakia, the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35764818" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Semantic data browsing is important task for open and governmental data in behalf of public control. There are many projects and solutions regarding semantic data browsing and navigation, but despite the fact, in Slovakia, the availability of such data is poor. It is a shame, because projects like National Action Plan of Open Government and the site data.gov.sk are already operating for several years. In this work we would like to point out key aspects of semantic data and detail the Slovak market of semantic data. We design and propose our solution of semantic data browsing, evaluate the implementation in our AGECRT NET tool.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35764818" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="46db55139c856f75efbbc938856bb575" rel="nofollow" data-download="{"attachment_id":55640964,"asset_id":35764818,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55640964/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="66277675" href="https://independent.academia.edu/academiaedusoft">Academia EduSoft</a><script data-card-contents-for-user="66277675" type="text/json">{"id":66277675,"first_name":"Academia","last_name":"EduSoft","domain_name":"independent","page_name":"academiaedusoft","display_name":"Academia EduSoft","profile_url":"https://independent.academia.edu/academiaedusoft?f_ri=59695","photo":"https://0.academia-photos.com/66277675/17266148/18188114/s65_academia.edusoft.jpg"}</script></span></span></li><li class="js-paper-rank-work_35764818 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35764818"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35764818, container: ".js-paper-rank-work_35764818", }); 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$(".js-view-count[data-work-id=35764818]").text(description); $(".js-view-count-work_35764818").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35764818").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35764818"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="24212" rel="nofollow" href="https://www.academia.edu/Documents/in/Open_Data">Open Data</a>, <script data-card-contents-for-ri="24212" type="text/json">{"id":24212,"name":"Open Data","url":"https://www.academia.edu/Documents/in/Open_Data?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="100652" rel="nofollow" href="https://www.academia.edu/Documents/in/RDF">RDF</a><script data-card-contents-for-ri="100652" type="text/json">{"id":100652,"name":"RDF","url":"https://www.academia.edu/Documents/in/RDF?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35764818]'), work: {"id":35764818,"title":"Browsing Semantic Data in Slovakia","created_at":"2018-01-26T06:29:18.879-08:00","url":"https://www.academia.edu/35764818/Browsing_Semantic_Data_in_Slovakia?f_ri=59695","dom_id":"work_35764818","summary":"Semantic data browsing is important task for open and governmental data in behalf of public control. There are many projects and solutions regarding semantic data browsing and navigation, but despite the fact, in Slovakia, the availability of such data is poor. It is a shame, because projects like National Action Plan of Open Government and the site data.gov.sk are already operating for several years. In this work we would like to point out key aspects of semantic data and detail the Slovak market of semantic data. We design and propose our solution of semantic data browsing, evaluate the implementation in our AGECRT NET tool.","downloadable_attachments":[{"id":55640964,"asset_id":35764818,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":66277675,"first_name":"Academia","last_name":"EduSoft","domain_name":"independent","page_name":"academiaedusoft","display_name":"Academia EduSoft","profile_url":"https://independent.academia.edu/academiaedusoft?f_ri=59695","photo":"https://0.academia-photos.com/66277675/17266148/18188114/s65_academia.edusoft.jpg"}],"research_interests":[{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=59695","nofollow":true},{"id":24212,"name":"Open Data","url":"https://www.academia.edu/Documents/in/Open_Data?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":100652,"name":"RDF","url":"https://www.academia.edu/Documents/in/RDF?f_ri=59695","nofollow":true},{"id":2877777,"name":"semantic data","url":"https://www.academia.edu/Documents/in/semantic_data?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_646834" data-work_id="646834" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/646834/Crawling_Ajax_by_inferring_user_interface_state_changes">Crawling Ajax by inferring user interface state changes</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/646834" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="82d655bbb7923a9a986edd7abfc7d0ad" rel="nofollow" data-download="{"attachment_id":3557388,"asset_id":646834,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/3557388/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="273163" href="https://philips.academia.edu/EnginBozdag">Engin Bozdag</a><script data-card-contents-for-user="273163" type="text/json">{"id":273163,"first_name":"Engin","last_name":"Bozdag","domain_name":"philips","page_name":"EnginBozdag","display_name":"Engin Bozdag","profile_url":"https://philips.academia.edu/EnginBozdag?f_ri=59695","photo":"https://0.academia-photos.com/273163/67025/3261535/s65_engin.bozdag.jpg"}</script></span></span></li><li class="js-paper-rank-work_646834 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" 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hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="646834"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 646834; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=646834]").text(description); $(".js-view-count-work_646834").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_646834").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="646834"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="5279" rel="nofollow" href="https://www.academia.edu/Documents/in/XML">XML</a>, <script data-card-contents-for-ri="5279" type="text/json">{"id":5279,"name":"XML","url":"https://www.academia.edu/Documents/in/XML?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11119" rel="nofollow" href="https://www.academia.edu/Documents/in/User_Interface">User Interface</a>, <script data-card-contents-for-ri="11119" type="text/json">{"id":11119,"name":"User Interface","url":"https://www.academia.edu/Documents/in/User_Interface?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="35838" rel="nofollow" href="https://www.academia.edu/Documents/in/Search_Engines">Search Engines</a>, <script data-card-contents-for-ri="35838" type="text/json">{"id":35838,"name":"Search Engines","url":"https://www.academia.edu/Documents/in/Search_Engines?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="45834" rel="nofollow" href="https://www.academia.edu/Documents/in/Open_Source">Open Source</a><script data-card-contents-for-ri="45834" type="text/json">{"id":45834,"name":"Open Source","url":"https://www.academia.edu/Documents/in/Open_Source?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=646834]'), work: {"id":646834,"title":"Crawling Ajax by inferring user interface state changes","created_at":"2011-06-06T04:39:39.686-07:00","url":"https://www.academia.edu/646834/Crawling_Ajax_by_inferring_user_interface_state_changes?f_ri=59695","dom_id":"work_646834","summary":null,"downloadable_attachments":[{"id":3557388,"asset_id":646834,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":273163,"first_name":"Engin","last_name":"Bozdag","domain_name":"philips","page_name":"EnginBozdag","display_name":"Engin Bozdag","profile_url":"https://philips.academia.edu/EnginBozdag?f_ri=59695","photo":"https://0.academia-photos.com/273163/67025/3261535/s65_engin.bozdag.jpg"}],"research_interests":[{"id":5279,"name":"XML","url":"https://www.academia.edu/Documents/in/XML?f_ri=59695","nofollow":true},{"id":11119,"name":"User Interface","url":"https://www.academia.edu/Documents/in/User_Interface?f_ri=59695","nofollow":true},{"id":35838,"name":"Search Engines","url":"https://www.academia.edu/Documents/in/Search_Engines?f_ri=59695","nofollow":true},{"id":45834,"name":"Open Source","url":"https://www.academia.edu/Documents/in/Open_Source?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":67974,"name":"Dynamic Analysis","url":"https://www.academia.edu/Documents/in/Dynamic_Analysis?f_ri=59695"},{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=59695"},{"id":97585,"name":"User interfaces","url":"https://www.academia.edu/Documents/in/User_interfaces?f_ri=59695"},{"id":101071,"name":"Interactivity","url":"https://www.academia.edu/Documents/in/Interactivity?f_ri=59695"},{"id":137780,"name":"Search Engine","url":"https://www.academia.edu/Documents/in/Search_Engine?f_ri=59695"},{"id":141114,"name":"World Wide Web","url":"https://www.academia.edu/Documents/in/World_Wide_Web?f_ri=59695"},{"id":481229,"name":"Web Pages","url":"https://www.academia.edu/Documents/in/Web_Pages?f_ri=59695"},{"id":998345,"name":"Digital System Testing","url":"https://www.academia.edu/Documents/in/Digital_System_Testing?f_ri=59695"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet?f_ri=59695"},{"id":2065970,"name":"Crawler","url":"https://www.academia.edu/Documents/in/Crawler?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6295664" data-work_id="6295664" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6295664/Reactive_local_navigation">Reactive local navigation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this paper a reactive local navigation system is presented, for an autonomous non-holonomic mobile robot navigating in dynamic environments. The reactive navigation system integrates an obstacle detection method [4] and a new reactive... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6295664" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper a reactive local navigation system is presented, for an autonomous non-holonomic mobile robot navigating in dynamic environments. The reactive navigation system integrates an obstacle detection method [4] and a new reactive collision avoidance method. The sensory perception is based in a laser range finder (LRF) system. Simulation results are presented to verify the effectiveness of the proposed local navigation system in unknown environments with multiple moving objects. The comparison of results are shown, between two different approaches, a Velocity Obstacle (VO) approach and our own, based in the Dynamic Window (DW) concept.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6295664" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="95bacc55e40536af67da44e2766e6898" rel="nofollow" data-download="{"attachment_id":48927389,"asset_id":6295664,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48927389/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8085359" href="https://independent.academia.edu/danielcastro18">daniel castro</a><script data-card-contents-for-user="8085359" type="text/json">{"id":8085359,"first_name":"daniel","last_name":"castro","domain_name":"independent","page_name":"danielcastro18","display_name":"daniel castro","profile_url":"https://independent.academia.edu/danielcastro18?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_6295664 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6295664"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6295664, container: ".js-paper-rank-work_6295664", }); 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$(".js-view-count[data-work-id=6295664]").text(description); $(".js-view-count-work_6295664").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6295664").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="6295664"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="66823" rel="nofollow" href="https://www.academia.edu/Documents/in/Mobile_Robots">Mobile Robots</a>, <script data-card-contents-for-ri="66823" type="text/json">{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="143084" rel="nofollow" href="https://www.academia.edu/Documents/in/Collision_Avoidance">Collision Avoidance</a>, <script data-card-contents-for-ri="143084" type="text/json">{"id":143084,"name":"Collision Avoidance","url":"https://www.academia.edu/Documents/in/Collision_Avoidance?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="168687" rel="nofollow" href="https://www.academia.edu/Documents/in/Obstacle_Detection">Obstacle Detection</a><script data-card-contents-for-ri="168687" type="text/json">{"id":168687,"name":"Obstacle Detection","url":"https://www.academia.edu/Documents/in/Obstacle_Detection?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6295664]'), work: {"id":6295664,"title":"Reactive local navigation","created_at":"2014-03-05T00:12:26.887-08:00","url":"https://www.academia.edu/6295664/Reactive_local_navigation?f_ri=59695","dom_id":"work_6295664","summary":"In this paper a reactive local navigation system is presented, for an autonomous non-holonomic mobile robot navigating in dynamic environments. The reactive navigation system integrates an obstacle detection method [4] and a new reactive collision avoidance method. The sensory perception is based in a laser range finder (LRF) system. Simulation results are presented to verify the effectiveness of the proposed local navigation system in unknown environments with multiple moving objects. The comparison of results are shown, between two different approaches, a Velocity Obstacle (VO) approach and our own, based in the Dynamic Window (DW) concept.","downloadable_attachments":[{"id":48927389,"asset_id":6295664,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8085359,"first_name":"daniel","last_name":"castro","domain_name":"independent","page_name":"danielcastro18","display_name":"daniel castro","profile_url":"https://independent.academia.edu/danielcastro18?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":66823,"name":"Mobile Robots","url":"https://www.academia.edu/Documents/in/Mobile_Robots?f_ri=59695","nofollow":true},{"id":143084,"name":"Collision Avoidance","url":"https://www.academia.edu/Documents/in/Collision_Avoidance?f_ri=59695","nofollow":true},{"id":168687,"name":"Obstacle Detection","url":"https://www.academia.edu/Documents/in/Obstacle_Detection?f_ri=59695","nofollow":true},{"id":206145,"name":"System Simulation","url":"https://www.academia.edu/Documents/in/System_Simulation?f_ri=59695"},{"id":559443,"name":"Laser Range Finder","url":"https://www.academia.edu/Documents/in/Laser_Range_Finder?f_ri=59695"},{"id":592995,"name":"Moving Object Recognition","url":"https://www.academia.edu/Documents/in/Moving_Object_Recognition?f_ri=59695"},{"id":662248,"name":"Dynamic Environment","url":"https://www.academia.edu/Documents/in/Dynamic_Environment?f_ri=59695"},{"id":1330015,"name":"Navigation System","url":"https://www.academia.edu/Documents/in/Navigation_System?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_10752657" data-work_id="10752657" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/10752657/Analysis_of_INS_Derived_Doppler_Effects_on_Carrier_Tracking_Loop">Analysis of INS Derived Doppler Effects on Carrier Tracking Loop</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Tracking dynamics on the GPS signal is still a big challenge to the receiver designer as the operating conditions are becoming more volatile. Optimizing the stand-alone system for dynamics, generally, degrades the accuracy of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_10752657" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Tracking dynamics on the GPS signal is still a big challenge to the receiver designer as the operating conditions are becoming more volatile. Optimizing the stand-alone system for dynamics, generally, degrades the accuracy of measurements. Therefore, an INS is integrated with GPS to address this issue. Doppler derived from INS can be used to aid the carrier tracking loop for improving the performance under dynamic conditions. However, the derived doppler does not truly reflect the GPS signal doppler due to errors in inertial sensors. As the tracking loop bandwidth is reduced significantly in Ultra-tightly integrated systems, any offsets in the aiding doppler creates undesired correlations in the tracking loop resulting in sub-optimal performance of the loop. The paper addresses this issue and also provides a mitigating mechanism to reduce the effects of incorrect estimates of the doppler. It is shown that doppler offsets resulting in a bias in the tracking loop can be appropriately modeled and removed. Mathematical algorithms pertaining to this are provided and the results are summarized. Simulations show that the bias due to aiding doppler offsets could be effectively addressed by appropriate modelling.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10752657" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9150f315424fca6e928f2e0eb9c6ec62" rel="nofollow" data-download="{"attachment_id":47153168,"asset_id":10752657,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47153168/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26198166" href="https://independent.academia.edu/WangJinling">Jinling Wang</a><script data-card-contents-for-user="26198166" type="text/json">{"id":26198166,"first_name":"Jinling","last_name":"Wang","domain_name":"independent","page_name":"WangJinling","display_name":"Jinling Wang","profile_url":"https://independent.academia.edu/WangJinling?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_10752657 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="10752657"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 10752657, container: ".js-paper-rank-work_10752657", }); 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$(".js-view-count[data-work-id=10752657]").text(description); $(".js-view-count-work_10752657").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_10752657").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="10752657"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="132719" rel="nofollow" href="https://www.academia.edu/Documents/in/Stochastic_Modelling">Stochastic Modelling</a>, <script data-card-contents-for-ri="132719" type="text/json">{"id":132719,"name":"Stochastic Modelling","url":"https://www.academia.edu/Documents/in/Stochastic_Modelling?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="162010" rel="nofollow" href="https://www.academia.edu/Documents/in/Geomatic_Engineering">Geomatic Engineering</a>, <script data-card-contents-for-ri="162010" type="text/json">{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="332394" rel="nofollow" href="https://www.academia.edu/Documents/in/Inertial_Navigation_System">Inertial Navigation System</a><script data-card-contents-for-ri="332394" type="text/json">{"id":332394,"name":"Inertial Navigation System","url":"https://www.academia.edu/Documents/in/Inertial_Navigation_System?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=10752657]'), work: {"id":10752657,"title":"Analysis of INS Derived Doppler Effects on Carrier Tracking Loop","created_at":"2015-02-12T19:57:14.860-08:00","url":"https://www.academia.edu/10752657/Analysis_of_INS_Derived_Doppler_Effects_on_Carrier_Tracking_Loop?f_ri=59695","dom_id":"work_10752657","summary":"Tracking dynamics on the GPS signal is still a big challenge to the receiver designer as the operating conditions are becoming more volatile. Optimizing the stand-alone system for dynamics, generally, degrades the accuracy of measurements. Therefore, an INS is integrated with GPS to address this issue. Doppler derived from INS can be used to aid the carrier tracking loop for improving the performance under dynamic conditions. However, the derived doppler does not truly reflect the GPS signal doppler due to errors in inertial sensors. As the tracking loop bandwidth is reduced significantly in Ultra-tightly integrated systems, any offsets in the aiding doppler creates undesired correlations in the tracking loop resulting in sub-optimal performance of the loop. The paper addresses this issue and also provides a mitigating mechanism to reduce the effects of incorrect estimates of the doppler. It is shown that doppler offsets resulting in a bias in the tracking loop can be appropriately modeled and removed. Mathematical algorithms pertaining to this are provided and the results are summarized. Simulations show that the bias due to aiding doppler offsets could be effectively addressed by appropriate modelling.","downloadable_attachments":[{"id":47153168,"asset_id":10752657,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26198166,"first_name":"Jinling","last_name":"Wang","domain_name":"independent","page_name":"WangJinling","display_name":"Jinling Wang","profile_url":"https://independent.academia.edu/WangJinling?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":132719,"name":"Stochastic Modelling","url":"https://www.academia.edu/Documents/in/Stochastic_Modelling?f_ri=59695","nofollow":true},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true},{"id":332394,"name":"Inertial Navigation System","url":"https://www.academia.edu/Documents/in/Inertial_Navigation_System?f_ri=59695","nofollow":true},{"id":477865,"name":"Operant Conditioning","url":"https://www.academia.edu/Documents/in/Operant_Conditioning?f_ri=59695"},{"id":521099,"name":"Doppler effect","url":"https://www.academia.edu/Documents/in/Doppler_effect?f_ri=59695"},{"id":965809,"name":"Inertial Sensor","url":"https://www.academia.edu/Documents/in/Inertial_Sensor?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_13710481" data-work_id="13710481" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/13710481/Vision_based_obstacle_detection_and_avoidance_for_the_CWRU_cutter_Autonomous_Lawnmower">Vision-based obstacle detection and avoidance for the CWRU cutter Autonomous Lawnmower</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Ž . An effective approach to obstacle detection and avoidance for autonomous land vehicle ALV navigation in outdoor road environments using computer vision and image sequence techniques is proposed. To judge whether an object newly... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_13710481" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Ž . An effective approach to obstacle detection and avoidance for autonomous land vehicle ALV navigation in outdoor road environments using computer vision and image sequence techniques is proposed. To judge whether an object newly appearing in the image of the current cycle taken by the ALV is an obstacle, the object shape boundary is first extracted from the image. After the translation from the ALV location in the current cycle to that in the next cycle is estimated, the position of the object shape in the image of the next cycle is predicted, using coordinate transformation techniques based on the assumption that the height of the object is zero. The predicted object shape is then matched with the extracted shape of the object in the image of the next cycle to decide whether the object is an obstacle. We use a reasonable distance measure to compute the correlation measure between two shapes for shape matching. Finally, a safe navigation point is determined, and a turn angle is computed to guide the ALV toward the navigation point for obstacle avoidance. Successful navigation tests show that the proposed approach is effective for obstacle detection and avoidance in outdoor road environments. q</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13710481" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="25b169e79433f11f6d889aca3de694c6" rel="nofollow" data-download="{"attachment_id":45030841,"asset_id":13710481,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45030841/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32842517" href="https://independent.academia.edu/ASchepelmann">A. Schepelmann</a><script data-card-contents-for-user="32842517" type="text/json">{"id":32842517,"first_name":"A.","last_name":"Schepelmann","domain_name":"independent","page_name":"ASchepelmann","display_name":"A. Schepelmann","profile_url":"https://independent.academia.edu/ASchepelmann?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_13710481 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="13710481"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 13710481, container: ".js-paper-rank-work_13710481", }); });</script></li><li class="js-percentile-work_13710481 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13710481; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_13710481"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_13710481 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="13710481"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13710481; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13710481]").text(description); $(".js-view-count-work_13710481").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_13710481").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="13710481"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="854" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Vision">Computer Vision</a>, <script data-card-contents-for-ri="854" type="text/json">{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1185" rel="nofollow" href="https://www.academia.edu/Documents/in/Image_Processing">Image Processing</a>, <script data-card-contents-for-ri="1185" type="text/json">{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11122" rel="nofollow" href="https://www.academia.edu/Documents/in/Automata">Automata</a><script data-card-contents-for-ri="11122" type="text/json">{"id":11122,"name":"Automata","url":"https://www.academia.edu/Documents/in/Automata?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=13710481]'), work: {"id":13710481,"title":"Vision-based obstacle detection and avoidance for the CWRU cutter Autonomous Lawnmower","created_at":"2015-07-06T10:45:49.630-07:00","url":"https://www.academia.edu/13710481/Vision_based_obstacle_detection_and_avoidance_for_the_CWRU_cutter_Autonomous_Lawnmower?f_ri=59695","dom_id":"work_13710481","summary":"Ž . An effective approach to obstacle detection and avoidance for autonomous land vehicle ALV navigation in outdoor road environments using computer vision and image sequence techniques is proposed. To judge whether an object newly appearing in the image of the current cycle taken by the ALV is an obstacle, the object shape boundary is first extracted from the image. After the translation from the ALV location in the current cycle to that in the next cycle is estimated, the position of the object shape in the image of the next cycle is predicted, using coordinate transformation techniques based on the assumption that the height of the object is zero. The predicted object shape is then matched with the extracted shape of the object in the image of the next cycle to decide whether the object is an obstacle. We use a reasonable distance measure to compute the correlation measure between two shapes for shape matching. Finally, a safe navigation point is determined, and a turn angle is computed to guide the ALV toward the navigation point for obstacle avoidance. Successful navigation tests show that the proposed approach is effective for obstacle detection and avoidance in outdoor road environments. q","downloadable_attachments":[{"id":45030841,"asset_id":13710481,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32842517,"first_name":"A.","last_name":"Schepelmann","domain_name":"independent","page_name":"ASchepelmann","display_name":"A. Schepelmann","profile_url":"https://independent.academia.edu/ASchepelmann?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=59695","nofollow":true},{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=59695","nofollow":true},{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=59695","nofollow":true},{"id":11122,"name":"Automata","url":"https://www.academia.edu/Documents/in/Automata?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695"},{"id":165565,"name":"Cost effectiveness","url":"https://www.academia.edu/Documents/in/Cost_effectiveness?f_ri=59695"},{"id":168687,"name":"Obstacle Detection","url":"https://www.academia.edu/Documents/in/Obstacle_Detection?f_ri=59695"},{"id":207411,"name":"Construction Automation","url":"https://www.academia.edu/Documents/in/Construction_Automation?f_ri=59695"},{"id":321194,"name":"Obstacle Avoidance","url":"https://www.academia.edu/Documents/in/Obstacle_Avoidance?f_ri=59695"},{"id":370643,"name":"Autonomous Vehicle","url":"https://www.academia.edu/Documents/in/Autonomous_Vehicle?f_ri=59695"},{"id":1015743,"name":"Image Sequence","url":"https://www.academia.edu/Documents/in/Image_Sequence?f_ri=59695"},{"id":1029330,"name":"Automaton","url":"https://www.academia.edu/Documents/in/Automaton?f_ri=59695"},{"id":1412340,"name":"Prototype","url":"https://www.academia.edu/Documents/in/Prototype?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14120468" data-work_id="14120468" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14120468/An_Extended_Kalman_Filter_Algorithm_for_Integrating_GPS_and_Low_Cost_Dead_Reckoning_System_Data_for_Vehicle_Performance_and_Emissions_Monitoring">An Extended Kalman Filter Algorithm for Integrating GPS and Low Cost Dead Reckoning System Data for Vehicle Performance and Emissions Monitoring</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper describes the features of an extended Kalman filter algorithm designed to support the navigational function of a real-time vehicle performance and emissions monitoring system currently under development. The Kalman filter is... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_14120468" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper describes the features of an extended Kalman filter algorithm designed to support the navigational function of a real-time vehicle performance and emissions monitoring system currently under development. The Kalman filter is used to process global positioning system (GPS) data enhanced with dead reckoning in an integrated mode, to provide continuous positioning in built-up areas. The dynamic model and filter algorithms are discussed in detail, followed by the findings based on computer simulations as well as a limited field trial carried out in the Greater London area. The results of using the extended Kalman filter algorithm demonstrate that the integrated system employing GPS and low cost dead reckoning devices is capable of meeting the required navigation performance of the device under development.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14120468" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7a36444facb2bdf0ae6b5dd13ec417ca" rel="nofollow" data-download="{"attachment_id":44584481,"asset_id":14120468,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/44584481/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33118321" href="https://lboro.academia.edu/MohammedQuddus">Mohammed Quddus</a><script data-card-contents-for-user="33118321" type="text/json">{"id":33118321,"first_name":"Mohammed","last_name":"Quddus","domain_name":"lboro","page_name":"MohammedQuddus","display_name":"Mohammed Quddus","profile_url":"https://lboro.academia.edu/MohammedQuddus?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_14120468 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14120468"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14120468, container: ".js-paper-rank-work_14120468", }); });</script></li><li class="js-percentile-work_14120468 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14120468; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_14120468"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_14120468 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="14120468"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14120468; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14120468]").text(description); $(".js-view-count-work_14120468").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14120468").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="14120468"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="162010" rel="nofollow" href="https://www.academia.edu/Documents/in/Geomatic_Engineering">Geomatic Engineering</a>, <script data-card-contents-for-ri="162010" type="text/json">{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="839252" rel="nofollow" href="https://www.academia.edu/Documents/in/Dead_Reckoning">Dead Reckoning</a>, <script data-card-contents-for-ri="839252" type="text/json">{"id":839252,"name":"Dead Reckoning","url":"https://www.academia.edu/Documents/in/Dead_Reckoning?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="872410" rel="nofollow" href="https://www.academia.edu/Documents/in/Extended_Kalman_Filter">Extended Kalman Filter</a><script data-card-contents-for-ri="872410" type="text/json">{"id":872410,"name":"Extended Kalman Filter","url":"https://www.academia.edu/Documents/in/Extended_Kalman_Filter?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14120468]'), work: {"id":14120468,"title":"An Extended Kalman Filter Algorithm for Integrating GPS and Low Cost Dead Reckoning System Data for Vehicle Performance and Emissions Monitoring","created_at":"2015-07-16T09:07:47.855-07:00","url":"https://www.academia.edu/14120468/An_Extended_Kalman_Filter_Algorithm_for_Integrating_GPS_and_Low_Cost_Dead_Reckoning_System_Data_for_Vehicle_Performance_and_Emissions_Monitoring?f_ri=59695","dom_id":"work_14120468","summary":"This paper describes the features of an extended Kalman filter algorithm designed to support the navigational function of a real-time vehicle performance and emissions monitoring system currently under development. The Kalman filter is used to process global positioning system (GPS) data enhanced with dead reckoning in an integrated mode, to provide continuous positioning in built-up areas. The dynamic model and filter algorithms are discussed in detail, followed by the findings based on computer simulations as well as a limited field trial carried out in the Greater London area. The results of using the extended Kalman filter algorithm demonstrate that the integrated system employing GPS and low cost dead reckoning devices is capable of meeting the required navigation performance of the device under development.","downloadable_attachments":[{"id":44584481,"asset_id":14120468,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33118321,"first_name":"Mohammed","last_name":"Quddus","domain_name":"lboro","page_name":"MohammedQuddus","display_name":"Mohammed Quddus","profile_url":"https://lboro.academia.edu/MohammedQuddus?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=59695","nofollow":true},{"id":839252,"name":"Dead Reckoning","url":"https://www.academia.edu/Documents/in/Dead_Reckoning?f_ri=59695","nofollow":true},{"id":872410,"name":"Extended Kalman Filter","url":"https://www.academia.edu/Documents/in/Extended_Kalman_Filter?f_ri=59695","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69800078" data-work_id="69800078" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69800078/A_Support_Vector_Machine_Classification_of_Computational_Capabilities_of_3D_Map_on_Mobile_Device_for_Navigation_Aid">A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">3D map for mobile devices provide more realistic view of an environment and serves as better navigation aid. Previous research studies shows differences in 3D maps effect on acquiring of spatial knowledge. This is attributed to the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69800078" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">3D map for mobile devices provide more realistic view of an environment and serves as better navigation aid. Previous research studies shows differences in 3D maps effect on acquiring of spatial knowledge. This is attributed to the differences in mobile device computational capabilities. Crucial to this, is the time it takes for 3D map dataset to be rendered for a required complete navigation task. Different findings suggest different approach on solving the problem of time require for both in-core (inside mobile) and out-core (remote) rendering of 3D dataset. Unfortunately, studies on analytical techniques required to shows the impact of computational resources required for the use of 3D map on mobile device were neglected by the research communities. This paper uses Support Vector Machine (SVM) to analytically classify mobile device computational capabilities required for 3D map that will be suitable for use as navigation aid. Fifty different Smart phones were categorized on the b...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69800078" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7ef3d529745d26d1a88691f134cb96a2" rel="nofollow" data-download="{"attachment_id":79756834,"asset_id":69800078,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79756834/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="140906133" href="https://atbunet.academia.edu/AbdulsalamGital">Abdulsalam Gital</a><script data-card-contents-for-user="140906133" type="text/json">{"id":140906133,"first_name":"Abdulsalam","last_name":"Gital","domain_name":"atbunet","page_name":"AbdulsalamGital","display_name":"Abdulsalam Gital","profile_url":"https://atbunet.academia.edu/AbdulsalamGital?f_ri=59695","photo":"https://0.academia-photos.com/140906133/39495576/32664291/s65_abdulsalam.gital.jpg"}</script></span></span></li><li class="js-paper-rank-work_69800078 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69800078"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69800078, container: ".js-paper-rank-work_69800078", }); 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$(".js-view-count[data-work-id=69800078]").text(description); $(".js-view-count-work_69800078").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_69800078").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="69800078"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="440" rel="nofollow" href="https://www.academia.edu/Documents/in/Distributed_Computing">Distributed Computing</a>, <script data-card-contents-for-ri="440" type="text/json">{"id":440,"name":"Distributed Computing","url":"https://www.academia.edu/Documents/in/Distributed_Computing?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4198" rel="nofollow" href="https://www.academia.edu/Documents/in/Mobile_Technology">Mobile Technology</a>, <script data-card-contents-for-ri="4198" type="text/json">{"id":4198,"name":"Mobile Technology","url":"https://www.academia.edu/Documents/in/Mobile_Technology?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59695" rel="nofollow" href="https://www.academia.edu/Documents/in/Navigation">Navigation</a>, <script data-card-contents-for-ri="59695" type="text/json">{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="191289" rel="nofollow" href="https://www.academia.edu/Documents/in/Support_vector_machine">Support vector machine</a><script data-card-contents-for-ri="191289" type="text/json">{"id":191289,"name":"Support vector machine","url":"https://www.academia.edu/Documents/in/Support_vector_machine?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69800078]'), work: {"id":69800078,"title":"A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid","created_at":"2022-01-28T08:38:32.565-08:00","url":"https://www.academia.edu/69800078/A_Support_Vector_Machine_Classification_of_Computational_Capabilities_of_3D_Map_on_Mobile_Device_for_Navigation_Aid?f_ri=59695","dom_id":"work_69800078","summary":"3D map for mobile devices provide more realistic view of an environment and serves as better navigation aid. Previous research studies shows differences in 3D maps effect on acquiring of spatial knowledge. This is attributed to the differences in mobile device computational capabilities. Crucial to this, is the time it takes for 3D map dataset to be rendered for a required complete navigation task. Different findings suggest different approach on solving the problem of time require for both in-core (inside mobile) and out-core (remote) rendering of 3D dataset. Unfortunately, studies on analytical techniques required to shows the impact of computational resources required for the use of 3D map on mobile device were neglected by the research communities. This paper uses Support Vector Machine (SVM) to analytically classify mobile device computational capabilities required for 3D map that will be suitable for use as navigation aid. Fifty different Smart phones were categorized on the b...","downloadable_attachments":[{"id":79756834,"asset_id":69800078,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":140906133,"first_name":"Abdulsalam","last_name":"Gital","domain_name":"atbunet","page_name":"AbdulsalamGital","display_name":"Abdulsalam Gital","profile_url":"https://atbunet.academia.edu/AbdulsalamGital?f_ri=59695","photo":"https://0.academia-photos.com/140906133/39495576/32664291/s65_abdulsalam.gital.jpg"}],"research_interests":[{"id":440,"name":"Distributed Computing","url":"https://www.academia.edu/Documents/in/Distributed_Computing?f_ri=59695","nofollow":true},{"id":4198,"name":"Mobile Technology","url":"https://www.academia.edu/Documents/in/Mobile_Technology?f_ri=59695","nofollow":true},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":191289,"name":"Support vector machine","url":"https://www.academia.edu/Documents/in/Support_vector_machine?f_ri=59695","nofollow":true},{"id":197902,"name":"Mobile Devices","url":"https://www.academia.edu/Documents/in/Mobile_Devices?f_ri=59695"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6827519" data-work_id="6827519" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/6827519/The_growing_hierarchical_self_organizing_map_exploratory_analysis_of_high_dimensional_data">The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a 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u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69951972/On_hardware_for_computing_exponential_and_trigonometric_functions">On hardware for computing exponential and trigonometric functions</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents new, fast hardware for computing the exponential function, sine, and cosine. The main new idea is to use low-precision arithmetic components to approximate high precision computations, and then to correct very quickly... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69951972" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents new, fast hardware for computing the exponential function, sine, and cosine. The main new idea is to use low-precision arithmetic components to approximate high precision computations, and then to correct very quickly the approximation error periodically so that the effect is to get high precision computation at near low-precision speed. The algorithm used in the paper is a nontrivial modification of the well-known CORDIC algorithm, and might be applicable to the computation of other functions than the ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69951972" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5208934fa16d4ca82c077834ee4bfc34" rel="nofollow" data-download="{"attachment_id":79854621,"asset_id":69951972,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79854621/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="51024108" href="https://independent.academia.edu/VititKantabutra">Vitit Kantabutra</a><script data-card-contents-for-user="51024108" type="text/json">{"id":51024108,"first_name":"Vitit","last_name":"Kantabutra","domain_name":"independent","page_name":"VititKantabutra","display_name":"Vitit Kantabutra","profile_url":"https://independent.academia.edu/VititKantabutra?f_ri=59695","photo":"https://0.academia-photos.com/51024108/13521507/151248093/s65_vitit.kantabutra.jpg"}</script></span></span></li><li class="js-paper-rank-work_69951972 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69951972"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69951972, container: ".js-paper-rank-work_69951972", }); 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The main new idea is to use low-precision arithmetic components to approximate high precision computations, and then to correct very quickly the approximation error periodically so that the effect is to get high precision computation at near low-precision speed. The algorithm used in the paper is a nontrivial modification of the well-known CORDIC algorithm, and might be applicable to the computation of other functions than the ...","downloadable_attachments":[{"id":79854621,"asset_id":69951972,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":51024108,"first_name":"Vitit","last_name":"Kantabutra","domain_name":"independent","page_name":"VititKantabutra","display_name":"Vitit Kantabutra","profile_url":"https://independent.academia.edu/VititKantabutra?f_ri=59695","photo":"https://0.academia-photos.com/51024108/13521507/151248093/s65_vitit.kantabutra.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=59695","nofollow":true},{"id":440,"name":"Distributed Computing","url":"https://www.academia.edu/Documents/in/Distributed_Computing?f_ri=59695","nofollow":true},{"id":7973,"name":"Approximation 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class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69551254" data-work_id="69551254" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69551254/Freedom_of_Navigation_in_the_Indo_Pacific_Region">Freedom of Navigation in the Indo-Pacific Region</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69551254" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a 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type="text/json">{"id":92257,"name":"Freedom","url":"https://www.academia.edu/Documents/in/Freedom?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="118115" rel="nofollow" href="https://www.academia.edu/Documents/in/Region">Region</a>, <script data-card-contents-for-ri="118115" type="text/json">{"id":118115,"name":"Region","url":"https://www.academia.edu/Documents/in/Region?f_ri=59695","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="153612" rel="nofollow" href="https://www.academia.edu/Documents/in/Indo">Indo</a><script data-card-contents-for-ri="153612" type="text/json">{"id":153612,"name":"Indo","url":"https://www.academia.edu/Documents/in/Indo?f_ri=59695","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69551254]'), work: {"id":69551254,"title":"Freedom of Navigation in the Indo-Pacific 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Kaye","profile_url":"https://uow.academia.edu/StuartKaye?f_ri=59695","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=59695","nofollow":true},{"id":92257,"name":"Freedom","url":"https://www.academia.edu/Documents/in/Freedom?f_ri=59695","nofollow":true},{"id":118115,"name":"Region","url":"https://www.academia.edu/Documents/in/Region?f_ri=59695","nofollow":true},{"id":153612,"name":"Indo","url":"https://www.academia.edu/Documents/in/Indo?f_ri=59695","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_68534728" data-work_id="68534728" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/68534728/Bridging_land_based_mobile_mapping_using_photogrammetric_adjustments">Bridging land-based mobile mapping using photogrammetric adjustments</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The increasing demand for up-to-date 3-D geographic information systems (GIS) in planning, transportation, and utility management applications poses significant challenges to the Geomatics community. Of all the challenges in acquiring,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_68534728" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The increasing demand for up-to-date 3-D geographic information systems (GIS) in planning, transportation, and utility management applications poses significant challenges to the Geomatics community. Of all the challenges in acquiring, building, maintaining, and using GIS, none is more central than that of dala acquisition. Obtaining the required spatial and attribute data by conventional methods such as aerial photogrammetry and terrestrial surveying is expensive, slow, or inaccurate. These methods are, therefore, not well suited for rapid updating. Fortunately, however, the development of land-based mobile mapping systems (MMS) has opened a new avenue to meet these challenges. Land-based MMS are capable of providing fast, efficient, cost-effective and complete data acquisition. As such, they are an innovative technology for creating and updating 3-D GIS databases both quickly and inexpensively. Basically, MMS are based on integrated navigation systems, mainly the integration of GP...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68534728" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="744f5b5a762d3c405aa902d3d0170a48" rel="nofollow" data-download="{"attachment_id":78975800,"asset_id":68534728,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/78975800/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25598729" href="https://ucalgary.academia.edu/TaherHassan">Taher Hassan</a><script data-card-contents-for-user="25598729" type="text/json">{"id":25598729,"first_name":"Taher","last_name":"Hassan","domain_name":"ucalgary","page_name":"TaherHassan","display_name":"Taher Hassan","profile_url":"https://ucalgary.academia.edu/TaherHassan?f_ri=59695","photo":"https://0.academia-photos.com/25598729/50947975/38998673/s65_taher.hassan.png"}</script></span></span></li><li class="js-paper-rank-work_68534728 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68534728"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68534728, container: ".js-paper-rank-work_68534728", }); 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board for real-time extraction of line symbols from video sequences for AGV</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">For a vision based vehicle guidance system a compact image processing wlit has been developed which extracts straight lines as symbols for the street boundaries. This unit consists of two ASICs for the segmentation of symbols and a micro... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_52395260" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">For a vision based vehicle guidance system a compact image processing wlit has been developed which extracts straight lines as symbols for the street boundaries. This unit consists of two ASICs for the segmentation of symbols and a micro controller for high level processing. The implemented sequence of algorithms comprises gradient operation. edge thinning. line verification, Hough transformation and a d e based post processing. Although the image processing unit is originally developed for vehicle guidance the hardware can be used for other industrial and robotic applications as well.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/52395260" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f2221cb141a362d8973a963004aaa4fb" rel="nofollow" data-download="{"attachment_id":69678460,"asset_id":52395260,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/69678460/download_file?st=MTc0MDE1NTQ2OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="36211495" href="https://uni-hannover.academia.edu/PeterPirsch">Peter Pirsch</a><script data-card-contents-for-user="36211495" type="text/json">{"id":36211495,"first_name":"Peter","last_name":"Pirsch","domain_name":"uni-hannover","page_name":"PeterPirsch","display_name":"Peter Pirsch","profile_url":"https://uni-hannover.academia.edu/PeterPirsch?f_ri=59695","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_52395260 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="52395260"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 52395260, container: ".js-paper-rank-work_52395260", }); 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