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navigation system</title> <meta name="description" content="Search results for: global navigation system"> <meta name="keywords" content="global navigation system"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="global navigation system"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 21699</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: global navigation system</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21699</span> An Improved Robust Algorithm Based on Cubature Kalman Filter for Single-Frequency Global Navigation Satellite System/Inertial Navigation Tightly Coupled System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hao%20Wang">Hao Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuguo%20Pan"> Shuguo Pan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Global Navigation Satellite System (GNSS) signal received by the dynamic vehicle in the harsh environment will be frequently interfered with and blocked, which generates gross error affecting the positioning accuracy of the GNSS/Inertial Navigation System (INS) integrated navigation. Therefore, this paper put forward an improved robust Cubature Kalman filter (CKF) algorithm for single-frequency GNSS/INS tightly coupled system ambiguity resolution. Firstly, the dynamic model and measurement model of a single-frequency GNSS/INS tightly coupled system was established, and the method for GNSS integer ambiguity resolution with INS aided is studied. Then, we analyzed the influence of pseudo-range observation with gross error on GNSS/INS integrated positioning accuracy. To reduce the influence of outliers, this paper improved the CKF algorithm and realized an intelligent selection of robust strategies by judging the ill-conditioned matrix. Finally, a field navigation test was performed to demonstrate the effectiveness of the proposed algorithm based on the double-differenced solution mode. The experiment has proved the improved robust algorithm can greatly weaken the influence of separate, continuous, and hybrid observation anomalies for enhancing the reliability and accuracy of GNSS/INS tightly coupled navigation solutions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GNSS%2FINS%20integrated%20navigation" title="GNSS/INS integrated navigation">GNSS/INS integrated navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=ambiguity%20resolution" title=" ambiguity resolution"> ambiguity resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=Cubature%20Kalman%20filter" title=" Cubature Kalman filter"> Cubature Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=Robust%20algorithm" title=" Robust algorithm"> Robust algorithm</a> </p> <a href="https://publications.waset.org/abstracts/151088/an-improved-robust-algorithm-based-on-cubature-kalman-filter-for-single-frequency-global-navigation-satellite-systeminertial-navigation-tightly-coupled-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151088.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">100</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21698</span> Research on the United Navigation Mechanism of Land, Sea and Air Targets under Multi-Sources Information Fusion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rui%20Liu">Rui Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Klaus%20Greve"> Klaus Greve</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The navigation information is a kind of dynamic geographic information, and the navigation information system is a kind of special geographic information system. At present, there are many researches on the application of centralized management and cross-integration application of basic geographic information. However, the idea of information integration and sharing is not deeply applied into the research of navigation information service. And the imperfection of navigation target coordination and navigation information sharing mechanism under certain navigation tasks has greatly affected the reliability and scientificity of navigation service such as path planning. Considering this, the project intends to study the multi-source information fusion and multi-objective united navigation information interaction mechanism: first of all, investigate the actual needs of navigation users in different areas, and establish the preliminary navigation information classification and importance level model; and then analyze the characteristics of the remote sensing and GIS vector data, and design the fusion algorithm from the aspect of improving the positioning accuracy and extracting the navigation environment data. At last, the project intends to analyze the feature of navigation information of the land, sea and air navigation targets, and design the united navigation data standard and navigation information sharing model under certain navigation tasks, and establish a test navigation system for united navigation simulation experiment. The aim of this study is to explore the theory of united navigation service and optimize the navigation information service model, which will lay the theory and technology foundation for the united navigation of land, sea and air targets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=information%20fusion" title="information fusion">information fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=united%20navigation" title=" united navigation"> united navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20path%20planning" title=" dynamic path planning"> dynamic path planning</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20information%20visualization" title=" navigation information visualization"> navigation information visualization</a> </p> <a href="https://publications.waset.org/abstracts/70612/research-on-the-united-navigation-mechanism-of-land-sea-and-air-targets-under-multi-sources-information-fusion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70612.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">288</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21697</span> Comparison of Extended Kalman Filter and Unscented Kalman Filter for Autonomous Orbit Determination of Lagrangian Navigation Constellation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Youtao%20Gao">Youtao Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Bingyu%20Jin"> Bingyu Jin</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanran%20Zhao"> Tanran Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Bo%20Xu"> Bo Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The history of satellite navigation can be dated back to the 1960s. From the U.S. Transit system and the Russian Tsikada system to the modern Global Positioning System (GPS) and the Globalnaya Navigatsionnaya Sputnikovaya Sistema (GLONASS), performance of satellite navigation has been greatly improved. Nowadays, the navigation accuracy and coverage of these existing systems have already fully fulfilled the requirement of near-Earth users, but these systems are still beyond the reach of deep space targets. Due to the renewed interest in space exploration, a novel high-precision satellite navigation system is becoming even more important. The increasing demand for such a deep space navigation system has contributed to the emergence of a variety of new constellation architectures, such as the Lunar Global Positioning System. Apart from a Walker constellation which is similar to the one adopted by GPS on Earth, a novel constellation architecture which consists of libration point satellites in the Earth-Moon system is also available to construct the lunar navigation system, which can be called accordingly, the libration point satellite navigation system. The concept of using Earth-Moon libration point satellites for lunar navigation was first proposed by Farquhar and then followed by many other researchers. Moreover, due to the special characteristics of Libration point orbits, an autonomous orbit determination technique, which is called ‘Liaison navigation’, can be adopted by the libration point satellites. Using only scalar satellite-to-satellite tracking data, both the orbits of the user and libration point satellites can be determined autonomously. In this way, the extensive Earth-based tracking measurement can be eliminated, and an autonomous satellite navigation system can be developed for future space exploration missions. The method of state estimate is an unnegligible factor which impacts on the orbit determination accuracy besides type of orbit, initial state accuracy and measurement accuracy. We apply the extended Kalman filter(EKF) and the unscented Kalman filter(UKF) to determinate the orbits of Lagrangian navigation satellites. The autonomous orbit determination errors are compared. The simulation results illustrate that UKF can improve the accuracy and z-axis convergence to some extent. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extended%20Kalman%20filter" title="extended Kalman filter">extended Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=autonomous%20orbit%20determination" title=" autonomous orbit determination"> autonomous orbit determination</a>, <a href="https://publications.waset.org/abstracts/search?q=unscented%20Kalman%20filter" title=" unscented Kalman filter"> unscented Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20constellation" title=" navigation constellation"> navigation constellation</a> </p> <a href="https://publications.waset.org/abstracts/72788/comparison-of-extended-kalman-filter-and-unscented-kalman-filter-for-autonomous-orbit-determination-of-lagrangian-navigation-constellation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72788.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">285</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21696</span> A Short-Baseline Dual-Antenna BDS/MEMS-IMU Integrated Navigation System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tijing%20Cai">Tijing Cai</a>, <a href="https://publications.waset.org/abstracts/search?q=Qimeng%20Xu"> Qimeng Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Daijin%20Zhou"> Daijin Zhou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper puts forward a short-baseline dual-antenna BDS/MEMS-IMU integrated navigation, constructs the carrier phase double difference model of BDS (BeiDou Navigation Satellite System), and presents a 2-position initial orientation method on BDS. The Extended Kalman-filter has been introduced for the integrated navigation system. The differences between MEMS-IMU and BDS position, velocity and carrier phase indications are used as measurements. To show the performance of the short-baseline dual-antenna BDS/MEMS-IMU integrated navigation system, the experiment results show that the position error is less than 1m, the pitch angle error and roll angle error are less than 0.1°, and the heading angle error is about 1°. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MEMS-IMU%20%28Micro-Electro-Mechanical%20System%20Inertial%20Measurement%20Unit%29" title="MEMS-IMU (Micro-Electro-Mechanical System Inertial Measurement Unit)">MEMS-IMU (Micro-Electro-Mechanical System Inertial Measurement Unit)</a>, <a href="https://publications.waset.org/abstracts/search?q=BDS%20%28BeiDou%20Navigation%20Satellite%20System%29" title=" BDS (BeiDou Navigation Satellite System)"> BDS (BeiDou Navigation Satellite System)</a>, <a href="https://publications.waset.org/abstracts/search?q=dual-antenna" title=" dual-antenna"> dual-antenna</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20navigation" title=" integrated navigation"> integrated navigation</a> </p> <a href="https://publications.waset.org/abstracts/97626/a-short-baseline-dual-antenna-bdsmems-imu-integrated-navigation-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97626.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">193</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21695</span> Performance Analysis of Geophysical Database Referenced Navigation: The Combination of Gravity Gradient and Terrain Using Extended Kalman Filter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jisun%20Lee">Jisun Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Jay%20Hyoun%20Kwon"> Jay Hyoun Kwon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As an alternative way to compensate the INS (inertial navigation system) error in non-GNSS (Global Navigation Satellite System) environment, geophysical database referenced navigation is being studied. In this study, both gravity gradient and terrain data were combined to complement the weakness of sole geophysical data as well as to improve the stability of the positioning. The main process to compensate the INS error using geophysical database was constructed on the basis of the EKF (Extended Kalman Filter). In detail, two type of combination method, centralized and decentralized filter, were applied to check the pros and cons of its algorithm and to find more robust results. The performance of each navigation algorithm was evaluated based on the simulation by supposing that the aircraft flies with precise geophysical DB and sensors above nine different trajectories. Especially, the results were compared to the ones from sole geophysical database referenced navigation to check the improvement due to a combination of the heterogeneous geophysical database. It was found that the overall navigation performance was improved, but not all trajectories generated better navigation result by the combination of gravity gradient with terrain data. Also, it was found that the centralized filter generally showed more stable results. It is because that the way to allocate the weight for the decentralized filter could not be optimized due to the local inconsistency of geophysical data. In the future, switching of geophysical data or combining different navigation algorithm are necessary to obtain more robust navigation results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Extended%20Kalman%20Filter" title="Extended Kalman Filter">Extended Kalman Filter</a>, <a href="https://publications.waset.org/abstracts/search?q=geophysical%20database%20referenced%20navigation" title=" geophysical database referenced navigation"> geophysical database referenced navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=gravity%20gradient" title=" gravity gradient"> gravity gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=terrain" title=" terrain "> terrain </a> </p> <a href="https://publications.waset.org/abstracts/67266/performance-analysis-of-geophysical-database-referenced-navigation-the-combination-of-gravity-gradient-and-terrain-using-extended-kalman-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67266.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">349</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21694</span> Accuracy of Autonomy Navigation of Unmanned Aircraft Systems through Imagery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sidney%20A.%20Lima">Sidney A. Lima</a>, <a href="https://publications.waset.org/abstracts/search?q=Hermann%20J.%20H.%20Kux"> Hermann J. H. Kux</a>, <a href="https://publications.waset.org/abstracts/search?q=Elcio%20H.%20Shiguemori"> Elcio H. Shiguemori</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Unmanned Aircraft Systems (UAS) usually navigate through the Global Navigation Satellite System (GNSS) associated with an Inertial Navigation System (INS). However, GNSS can have its accuracy degraded at any time or even turn off the signal of GNSS. In addition, there is the possibility of malicious interferences, known as jamming. Therefore, the image navigation system can solve the autonomy problem, because if the GNSS is disabled or degraded, the image navigation system would continue to provide coordinate information for the INS, allowing the autonomy of the system. This work aims to evaluate the accuracy of the positioning though photogrammetry concepts. The methodology uses orthophotos and Digital Surface Models (DSM) as a reference to represent the object space and photograph obtained during the flight to represent the image space. For the calculation of the coordinates of the perspective center and camera attitudes, it is necessary to know the coordinates of homologous points in the object space (orthophoto coordinates and DSM altitude) and image space (column and line of the photograph). So if it is possible to automatically identify in real time the homologous points the coordinates and attitudes can be calculated whit their respective accuracies. With the methodology applied in this work, it is possible to verify maximum errors in the order of 0.5 m in the positioning and 0.6º in the attitude of the camera, so the navigation through the image can reach values equal to or higher than the GNSS receivers without differential correction. Therefore, navigating through the image is a good alternative to enable autonomous navigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomy" title="autonomy">autonomy</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation" title=" navigation"> navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=photogrammetry" title=" photogrammetry"> photogrammetry</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20resection" title=" spatial resection"> spatial resection</a>, <a href="https://publications.waset.org/abstracts/search?q=UAS" title=" UAS"> UAS</a> </p> <a href="https://publications.waset.org/abstracts/91629/accuracy-of-autonomy-navigation-of-unmanned-aircraft-systems-through-imagery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">191</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21693</span> Analysis of Autonomous Orbit Determination for Lagrangian Navigation Constellation with Different Dynamical Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gao%20Youtao">Gao Youtao</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Tanran"> Zhao Tanran</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Bingyu"> Jin Bingyu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xu%20Bo"> Xu Bo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Global navigation satellite system(GNSS) can deliver navigation information for spacecraft orbiting on low-Earth orbits and medium Earth orbits. However, the GNSS cannot navigate the spacecraft on high-Earth orbit or deep space probes effectively. With the deep space exploration becoming a hot spot of aerospace, the demand for a deep space satellite navigation system is becoming increasingly prominent. Many researchers discussed the feasibility and performance of a satellite navigation system on periodic orbits around the Earth-Moon libration points which can be called Lagrangian point satellite navigation system. Autonomous orbit determination (AOD) is an important performance for the Lagrangian point satellite navigation system. With this ability, the Lagrangian point satellite navigation system can reduce the dependency on ground stations. AOD also can greatly reduce total system cost and assure mission continuity. As the elliptical restricted three-body problem can describe the Earth-Moon system more accurately than the circular restricted three-body problem, we study the autonomous orbit determination of Lagrangian navigation constellation using only crosslink range based on elliptical restricted three body problem. Extended Kalman filter is used in the autonomous orbit determination. In order to compare the autonomous orbit determination results based on elliptical restricted three-body problem to the results of autonomous orbit determination based on circular restricted three-body problem, we give the autonomous orbit determination position errors of a navigation constellation include four satellites based on the circular restricted three-body problem. The simulation result shows that the Lagrangian navigation constellation can achieve long-term precise autonomous orbit determination using only crosslink range. In addition, the type of the libration point orbit will influence the autonomous orbit determination accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extended%20Kalman%20filter" title="extended Kalman filter">extended Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=autonomous%20orbit%20determination" title=" autonomous orbit determination"> autonomous orbit determination</a>, <a href="https://publications.waset.org/abstracts/search?q=quasi-periodic%20orbit" title=" quasi-periodic orbit"> quasi-periodic orbit</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20constellation" title=" navigation constellation"> navigation constellation</a> </p> <a href="https://publications.waset.org/abstracts/72040/analysis-of-autonomous-orbit-determination-for-lagrangian-navigation-constellation-with-different-dynamical-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72040.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">282</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21692</span> Development of Modular Shortest Path Navigation System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nalinee%20Sophatsathit">Nalinee Sophatsathit</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a variation of navigation systems which tallies every node along the shortest path from start to destination nodes. The underlying technique rests on the well-established Dijkstra Algorithm. The ultimate goal is to serve as a user navigation guide that furnishes stop over cost of every node along this shortest path, whereby users can decide whether or not to visit any specific nodes. The output is an implementable module that can be further refined to run on the Internet and smartphone technology. This will benefit large organizations having physical installations spreaded over wide area such as hospitals, universities, etc. The savings on service personnel, let alone lost time and unproductive work, are attributive to innovative navigation system management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=navigation%20systems" title="navigation systems">navigation systems</a>, <a href="https://publications.waset.org/abstracts/search?q=shortest%20path" title=" shortest path"> shortest path</a>, <a href="https://publications.waset.org/abstracts/search?q=smartphone%20technology" title=" smartphone technology"> smartphone technology</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20navigation%20guide" title=" user navigation guide"> user navigation guide</a> </p> <a href="https://publications.waset.org/abstracts/12201/development-of-modular-shortest-path-navigation-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12201.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">338</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21691</span> Comparative Study between Inertial Navigation System and GPS in Flight Management System Application</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Othman%20Maklouf">Othman Maklouf</a>, <a href="https://publications.waset.org/abstracts/search?q=Matouk%20Elamari"> Matouk Elamari</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Rgeai"> M. Rgeai</a>, <a href="https://publications.waset.org/abstracts/search?q=Fateh%20Alej"> Fateh Alej</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In modern avionics the main fundamental component is the flight management system (FMS). An FMS is a specialized computer system that automates a wide variety of in-flight tasks, reducing the workload on the flight crew to the point that modern civilian aircraft no longer carry flight engineers or navigators. The main function of the FMS is in-flight management of the flight plan using various sensors such as Global Positioning System (GPS) and Inertial Navigation System (INS) to determine the aircraft's position and guide the aircraft along the flight plan. GPS which is satellite based navigation system, and INS which generally consists of inertial sensors (accelerometers and gyroscopes). GPS is used to locate positions anywhere on earth, it consists of satellites, control stations, and receivers. GPS receivers take information transmitted from the satellites and uses triangulation to calculate a user’s exact location. The basic principle of an INS is based on the integration of accelerations observed by the accelerometers on board the moving platform, the system will accomplish this task through appropriate processing of the data obtained from the specific force and angular velocity measurements. Thus, an appropriately initialized inertial navigation system is capable of continuous determination of vehicle position, velocity and attitude without the use of the external information. The main objective of article is to introduce a comparative study between the two systems under different conditions and scenarios using MATLAB with SIMULINK software. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flight%20management%20system" title="flight management system">flight management system</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS" title=" GPS"> GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=IMU" title=" IMU"> IMU</a>, <a href="https://publications.waset.org/abstracts/search?q=inertial%20navigation%20system" title=" inertial navigation system"> inertial navigation system</a> </p> <a href="https://publications.waset.org/abstracts/49195/comparative-study-between-inertial-navigation-system-and-gps-in-flight-management-system-application" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49195.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21690</span> Optical Flow Localisation and Appearance Mapping (OFLAAM) for Long-Term Navigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Pastor">Daniel Pastor</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyo-Sang%20Shin"> Hyo-Sang Shin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a novel method to use optical flow navigation for long-term navigation. Unlike standard SLAM approaches for augmented reality, OFLAAM is designed for Micro Air Vehicles (MAV). It uses an optical flow camera pointing downwards, an IMU and a monocular camera pointing frontwards. That configuration avoids the expensive mapping and tracking of the 3D features. It only maps these features in a vocabulary list by a localization module to tackle the loss of the navigation estimation. That module, based on the well-established algorithm DBoW2, will be also used to close the loop and allow long-term navigation in confined areas. That combination of high-speed optical flow navigation with a low rate localization algorithm allows fully autonomous navigation for MAV, at the same time it reduces the overall computational load. This framework is implemented in ROS (Robot Operating System) and tested attached to a laptop. A representative scenarios is used to analyse the performance of the system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vision" title="vision">vision</a>, <a href="https://publications.waset.org/abstracts/search?q=UAV" title=" UAV"> UAV</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation" title=" navigation"> navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=SLAM" title=" SLAM"> SLAM</a> </p> <a href="https://publications.waset.org/abstracts/20509/optical-flow-localisation-and-appearance-mapping-oflaam-for-long-term-navigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20509.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">606</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21689</span> An Automated Approach to Consolidate Galileo System Availability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marie%20Bieber">Marie Bieber</a>, <a href="https://publications.waset.org/abstracts/search?q=Fabrice%20Cosson"> Fabrice Cosson</a>, <a href="https://publications.waset.org/abstracts/search?q=Olivier%20Schmitt"> Olivier Schmitt</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Europe's Global Navigation Satellite System, Galileo, provides worldwide positioning and navigation services. The satellites in space are only one part of the Galileo system. An extensive ground infrastructure is essential to oversee the satellites and ensure accurate navigation signals. High reliability and availability of the entire Galileo system are crucial to continuously provide positioning information of high quality to users. Outages are tracked, and operational availability is regularly assessed. A highly flexible and adaptive tool has been developed to automate the Galileo system availability analysis. Not only does it enable a quick availability consolidation, but it also provides first steps towards improving the data quality of maintenance tickets used for the analysis. This includes data import and data preparation, with a focus on processing strings used for classification and identifying faulty data. Furthermore, the tool allows to handle a low amount of data, which is a major constraint when the aim is to provide accurate statistics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=availability" title="availability">availability</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20quality" title=" data quality"> data quality</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20performance" title=" system performance"> system performance</a>, <a href="https://publications.waset.org/abstracts/search?q=Galileo" title=" Galileo"> Galileo</a>, <a href="https://publications.waset.org/abstracts/search?q=aerospace" title=" aerospace"> aerospace</a> </p> <a href="https://publications.waset.org/abstracts/107165/an-automated-approach-to-consolidate-galileo-system-availability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107165.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">167</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21688</span> Design of an Air and Land Multi-Element Expression Pattern of Navigation Electronic Map for Ground Vehicles under United Navigation Mechanism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rui%20Liu">Rui Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Pengyu%20Cui"> Pengyu Cui</a>, <a href="https://publications.waset.org/abstracts/search?q=Nan%20Jiang"> Nan Jiang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At present, there is much research on the application of centralized management and cross-integration application of basic geographic information. However, the idea of information integration and sharing between land, sea, and air navigation targets is not deeply applied into the research of navigation information service, especially in the information expression. Targeting at this problem, the paper carries out works about the expression pattern of navigation electronic map for ground vehicles under air and land united navigation mechanism. At first, with the support from multi-source information fusion of GIS vector data, RS data, GPS data, etc., an air and land united information expression pattern is designed aiming at specific navigation task of emergency rescue in the earthquake. And then, the characteristics and specifications of the united expression of air and land navigation information under the constraints of map load are summarized and transferred into expression rules in the rule bank. At last, the related navigation experiment is implemented to evaluate the effect of the expression pattern. The experiment selects evaluation factors of the navigation task accomplishment time and the navigation error rate as the main index, and make comparisons with the traditional single information expression pattern. To sum up, the research improved the theory of navigation electronic map and laid a certain foundation for the design and realization of united navigation system in the aspect of real-time navigation information delivery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=navigation%20electronic%20map" title="navigation electronic map">navigation electronic map</a>, <a href="https://publications.waset.org/abstracts/search?q=united%20navigation" title=" united navigation"> united navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-element%20expression%20pattern" title=" multi-element expression pattern"> multi-element expression pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-source%20information%20fusion" title=" multi-source information fusion"> multi-source information fusion</a> </p> <a href="https://publications.waset.org/abstracts/79171/design-of-an-air-and-land-multi-element-expression-pattern-of-navigation-electronic-map-for-ground-vehicles-under-united-navigation-mechanism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79171.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">199</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21687</span> Integrated Navigation System Using Simplified Kalman Filter Algorithm </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Othman%20Maklouf">Othman Maklouf</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdunnaser%20Tresh"> Abdunnaser Tresh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> GPS and inertial navigation system (INS) have complementary qualities that make them ideal use for sensor fusion. The limitations of GPS include occasional high noise content, outages when satellite signals are blocked, interference and low bandwidth. The strengths of GPS include its long-term stability and its capacity to function as a stand-alone navigation system. In contrast, INS is not subject to interference or outages, have high bandwidth and good short-term noise characteristics, but have long-term drift errors and require external information for initialization. A combined system of GPS and INS subsystems can exhibit the robustness, higher bandwidth and better noise characteristics of the inertial system with the long-term stability of GPS. The most common estimation algorithm used in integrated INS/GPS is the Kalman Filter (KF). KF is able to take advantages of these characteristics to provide a common integrated navigation implementation with performance superior to that of either subsystem (GPS or INS). This paper presents a simplified KF algorithm for land vehicle navigation application. In this integration scheme, the GPS derived positions and velocities are used as the update measurements for the INS derived PVA. The KF error state vector in this case includes the navigation parameters as well as the accelerometer and gyroscope error states. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GPS" title="GPS">GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=INS" title=" INS"> INS</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filter" title=" Kalman filter"> Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=inertial%20navigation%20system" title=" inertial navigation system"> inertial navigation system</a> </p> <a href="https://publications.waset.org/abstracts/11049/integrated-navigation-system-using-simplified-kalman-filter-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11049.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">471</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21686</span> Performance Evaluation of GPS/INS Main Integration Approach </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Othman%20Maklouf">Othman Maklouf</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Adwaib"> Ahmed Adwaib </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a comparative study between the main GPS/INS coupling schemes, this will include the loosely coupled and tightly coupled configurations, several types of situations and operational conditions, in which the data fusion process is done using Kalman filtering. This will include the importance of sensors calibration as well as the alignment of the strap down inertial navigation system. The limitations of the inertial navigation systems are investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GPS" title="GPS">GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=INS" title=" INS"> INS</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filter" title=" Kalman filter"> Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20calibration" title=" sensor calibration"> sensor calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20system" title=" navigation system"> navigation system</a> </p> <a href="https://publications.waset.org/abstracts/1700/performance-evaluation-of-gpsins-main-integration-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1700.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">590</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21685</span> Investigation of User Position Accuracy for Stand-Alone and Hybrid Modes of the Indian Navigation with Indian Constellation Satellite System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naveen%20Kumar%20Perumalla">Naveen Kumar Perumalla</a>, <a href="https://publications.waset.org/abstracts/search?q=Devadas%20Kuna"> Devadas Kuna</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Akhter%20Ali"> Mohammed Akhter Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Satellite Navigation System such as the United States Global Positioning System (GPS) plays a significant role in determining the user position. Similar to that of GPS, Indian Regional Navigation Satellite System (IRNSS) is a Satellite Navigation System indigenously developed by Indian Space Research Organization (ISRO), India, to meet the country’s navigation applications. This system is also known as Navigation with Indian Constellation (NavIC). The NavIC system’s main objective, is to offer Positioning, Navigation and Timing (PNT) services to users in its two service areas i.e., covering the Indian landmass and the Indian Ocean. Six NavIC satellites are already deployed in the space and their receivers are in the performance evaluation stage. Four NavIC dual frequency receivers are installed in the ‘Advanced GNSS Research Laboratory’ (AGRL) in the Department of Electronics and Communication Engineering, University College of Engineering, Osmania University, India. The NavIC receivers can be operated in two positioning modes: Stand-alone IRNSS and Hybrid (IRNSS+GPS) modes. In this paper, analysis of various parameters such as Dilution of Precision (DoP), three Dimension (3D) Root Mean Square (RMS) Position Error and Horizontal Position Error with respect to Visibility of Satellites is being carried out using the real-time IRNSS data, obtained by operating the receiver in both positioning modes. Two typical days (6th July 2017 and 7th July 2017) are considered for Hyderabad (Latitude-17°24'28.07’N, Longitude-78°31'4.26’E) station are analyzed. It is found that with respect to the considered parameters, the Hybrid mode operation of NavIC receiver is giving better results than that of the standalone positioning mode. This work finds application in development of NavIC receivers for civilian navigation applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DoP" title="DoP">DoP</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS" title=" GPS"> GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=IRNSS" title=" IRNSS"> IRNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=GNSS" title=" GNSS"> GNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=position%20error" title=" position error"> position error</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20visibility" title=" satellite visibility"> satellite visibility</a> </p> <a href="https://publications.waset.org/abstracts/93204/investigation-of-user-position-accuracy-for-stand-alone-and-hybrid-modes-of-the-indian-navigation-with-indian-constellation-satellite-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93204.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">213</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21684</span> Design of a Commercial Off-the-Shelf Patch Antenna with Wide Half Power Beam Width for Global Navigation Satellite Systems Application</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mannahel%20Iftikhar">Mannahel Iftikhar</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Saeed"> Sara Saeed</a>, <a href="https://publications.waset.org/abstracts/search?q=Iqra%20Faryad"> Iqra Faryad</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Subhan"> Muhammad Subhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes the design of a low-cost dual-band stacked rhombus-shaped slot patch antenna. The antenna is designed on L-band with a GPS (L2) bandwidth of 0.08 GHz centered at 1.207 GHz and a GPS (L1) bandwidth of 0.23 GHz centered at 1.575 GHz. The antenna’s dimensions are 8.02×8.02 cm². The antenna has a 3 dB beamwidth of 100° at 1.204 GHz and 117° at 1.575 GHz. The gain of this antenna is 6.5 dBi at 1.575 GHz and 6.43 dBi at 1.207 GHz. The antenna is designed using commercial off-the-shelf components and can be used in any global navigation satellite system receiver covering L1 and L2 communication bands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=circular%20polarization" title="circular polarization">circular polarization</a>, <a href="https://publications.waset.org/abstracts/search?q=enhanced%20beamwidth" title=" enhanced beamwidth"> enhanced beamwidth</a>, <a href="https://publications.waset.org/abstracts/search?q=stacked%20patches" title=" stacked patches"> stacked patches</a>, <a href="https://publications.waset.org/abstracts/search?q=GNSS" title=" GNSS"> GNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20communication" title=" satellite communication"> satellite communication</a> </p> <a href="https://publications.waset.org/abstracts/160831/design-of-a-commercial-off-the-shelf-patch-antenna-with-wide-half-power-beam-width-for-global-navigation-satellite-systems-application" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160831.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">120</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21683</span> Comparison of Loosely Coupled and Tightly Coupled INS/GNSS Architecture for Guided Rocket Navigation System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahmat%20Purwoko">Rahmat Purwoko</a>, <a href="https://publications.waset.org/abstracts/search?q=Bambang%20Riyanto%20Trilaksono"> Bambang Riyanto Trilaksono</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper gives comparison of INS/GNSS architecture namely Loosely Coupled and Tightly Coupled using Hardware in the Loop Simulation in Guided Missile RKX-200 rocket model. INS/GNSS Tightly Coupled architecture requires pseudo-range, pseudo-range rate, and position and velocity of each satellite in constellation from GPS (Global Positioning System) measurement. The Loosely Coupled architecture use estimated position and velocity from GNSS receiver. INS/GNSS architecture also requires angular rate and specific force measurement from IMU (Inertial Measurement Unit). Loosely Coupled arhitecture designed using 15 states Kalman Filter and Tightly Coupled designed using 17 states Kalman Filter. Integration algorithm calculation using ECEF frame. Navigation System implemented Zedboard All Programmable SoC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=kalman%20filter" title="kalman filter">kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=loosely%20coupled" title=" loosely coupled"> loosely coupled</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20system" title=" navigation system"> navigation system</a>, <a href="https://publications.waset.org/abstracts/search?q=tightly%20coupled" title=" tightly coupled"> tightly coupled</a> </p> <a href="https://publications.waset.org/abstracts/57097/comparison-of-loosely-coupled-and-tightly-coupled-insgnss-architecture-for-guided-rocket-navigation-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57097.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">309</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21682</span> Genetic Algorithms Based ACPS Safety</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emine%20Laarouchi">Emine Laarouchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniela%20Cancila"> Daniela Cancila</a>, <a href="https://publications.waset.org/abstracts/search?q=Laurent%20Soulier"> Laurent Soulier</a>, <a href="https://publications.waset.org/abstracts/search?q=Hakima%20Chaouchi"> Hakima Chaouchi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cyber-Physical Systems as drones proved their efficiency for supporting emergency applications. For these particular applications, travel time and autonomous navigation algorithms are of paramount importance, especially when missions are performed in urban environments with high obstacle density. In this context, however, safety properties are not properly addressed. Our ambition is to optimize the system safety level under autonomous navigation systems, by preserving performance of the CPS. At this aim, we introduce genetic algorithms in the autonomous navigation process of the drone to better infer its trajectory considering the possible obstacles. We first model the wished safety requirements through a cost function and then seek to optimize it though genetics algorithms (GA). The main advantage in the use of GA is to consider different parameters together, for example, the level of battery for navigation system selection. Our tests show that the GA introduction in the autonomous navigation systems minimize the risk of safety lossless. Finally, although our simulation has been tested for autonomous drones, our approach and results could be extended for other autonomous navigation systems such as autonomous cars, robots, etc. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=safety" title="safety">safety</a>, <a href="https://publications.waset.org/abstracts/search?q=unmanned%20aerial%20vehicles" title=" unmanned aerial vehicles "> unmanned aerial vehicles </a>, <a href="https://publications.waset.org/abstracts/search?q=CPS" title=" CPS"> CPS</a>, <a href="https://publications.waset.org/abstracts/search?q=ACPS" title=" ACPS"> ACPS</a>, <a href="https://publications.waset.org/abstracts/search?q=drones" title=" drones"> drones</a>, <a href="https://publications.waset.org/abstracts/search?q=path%20planning" title=" path planning"> path planning</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithms" title=" genetic algorithms"> genetic algorithms</a> </p> <a href="https://publications.waset.org/abstracts/117828/genetic-algorithms-based-acps-safety" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117828.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">181</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21681</span> DQN for Navigation in Gazebo Simulator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xabier%20Olaz%20Moratinos">Xabier Olaz Moratinos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Drone navigation is critical, particularly during the initial phases, such as the initial ascension, where pilots may fail due to strong external interferences that could potentially lead to a crash. In this ongoing work, a drone has been successfully trained to perform an ascent of up to 6 meters at speeds with external disturbances pushing it up to 24 mph, with the DQN algorithm managing external forces affecting the system. It has been demonstrated that the system can control its height, position, and stability in all three axes (roll, pitch, and yaw) throughout the process. The learning process is carried out in the Gazebo simulator, which emulates interferences, while ROS is used to communicate with the agent. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=DQN" title=" DQN"> DQN</a>, <a href="https://publications.waset.org/abstracts/search?q=gazebo" title=" gazebo"> gazebo</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation" title=" navigation"> navigation</a> </p> <a href="https://publications.waset.org/abstracts/165698/dqn-for-navigation-in-gazebo-simulator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165698.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">113</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21680</span> Autonomous Position Control of an Unmanned Aerial Vehicle Based on Accelerometer Response for Indoor Navigation Using Kalman Filtering </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Syed%20Misbahuddin">Syed Misbahuddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Sagufta%20Kapadia"> Sagufta Kapadia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Autonomous indoor drone navigation has been posed with various challenges, including the inability to use a Global Positioning System (GPS). As of now, Unmanned Aerial Vehicles (UAVs) either rely on 3D mapping systems or utilize external camera arrays to track the UAV in an enclosed environment. The objective of this paper is to develop an algorithm that utilizes Kalman Filtering to reduce noise, allowing the UAV to be navigated indoors using only the flight controller and an onboard companion computer. In this paper, open-source libraries are used to control the UAV, which will only use the onboard accelerometer on the flight controller to estimate the position through double integration. One of the advantages of such a system is that it allows for low-cost and lightweight UAVs to autonomously navigate indoors without advanced mapping of the environment or the use of expensive high-precision-localization sensors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accelerometer" title="accelerometer">accelerometer</a>, <a href="https://publications.waset.org/abstracts/search?q=indoor-navigation" title=" indoor-navigation"> indoor-navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman-filtering" title=" Kalman-filtering"> Kalman-filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=position-control" title=" position-control "> position-control </a> </p> <a href="https://publications.waset.org/abstracts/115917/autonomous-position-control-of-an-unmanned-aerial-vehicle-based-on-accelerometer-response-for-indoor-navigation-using-kalman-filtering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115917.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">350</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21679</span> Deep Q-Network for Navigation in Gazebo Simulator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xabier%20Olaz%20Moratinos">Xabier Olaz Moratinos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Drone navigation is critical, particularly during the initial phases, such as the initial ascension, where pilots may fail due to strong external interferences that could potentially lead to a crash. In this ongoing work, a drone has been successfully trained to perform an ascent of up to 6 meters at speeds with external disturbances pushing it up to 24 mph, with the DQN algorithm managing external forces affecting the system. It has been demonstrated that the system can control its height, position, and stability in all three axes (roll, pitch, and yaw) throughout the process. The learning process is carried out in the Gazebo simulator, which emulates interferences, while ROS is used to communicate with the agent. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=DQN" title=" DQN"> DQN</a>, <a href="https://publications.waset.org/abstracts/search?q=Gazebo" title=" Gazebo"> Gazebo</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation" title=" navigation"> navigation</a> </p> <a href="https://publications.waset.org/abstracts/165568/deep-q-network-for-navigation-in-gazebo-simulator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165568.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21678</span> A Robust and Adaptive Unscented Kalman Filter for the Air Fine Alignment of the Strapdown Inertial Navigation System/GPS </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jian%20Shi">Jian Shi</a>, <a href="https://publications.waset.org/abstracts/search?q=Baoguo%20Yu"> Baoguo Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Haonan%20Jia"> Haonan Jia</a>, <a href="https://publications.waset.org/abstracts/search?q=Meng%20Liu"> Meng Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ping%20Huang"> Ping Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Adapting to the flexibility of war, a large number of guided weapons launch from aircraft. Therefore, the inertial navigation system loaded in the weapon needs to undergo an alignment process in the air. This article proposes the following methods to the problem of inaccurate modeling of the system under large misalignment angles, the accuracy reduction of filtering caused by outliers, and the noise changes in GPS signals: first, considering the large misalignment errors of Strapdown Inertial Navigation System (SINS)/GPS, a more accurate model is made rather than to make a small-angle approximation, and the Unscented Kalman Filter (UKF) algorithms are used to estimate the state; then, taking into account the impact of GPS noise changes on the fine alignment algorithm, the innovation adaptive filtering algorithm is introduced to estimate the GPS’s noise in real-time; at the same time, in order to improve the anti-interference ability of the air fine alignment algorithm, a robust filtering algorithm based on outlier detection is combined with the air fine alignment algorithm to improve the robustness of the algorithm. The algorithm can improve the alignment accuracy and robustness under interference conditions, which is verified by simulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20alignment" title="air alignment">air alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=fine%20alignment" title=" fine alignment"> fine alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=inertial%20navigation%20system" title=" inertial navigation system"> inertial navigation system</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20navigation%20system" title=" integrated navigation system"> integrated navigation system</a>, <a href="https://publications.waset.org/abstracts/search?q=UKF" title=" UKF"> UKF</a> </p> <a href="https://publications.waset.org/abstracts/128940/a-robust-and-adaptive-unscented-kalman-filter-for-the-air-fine-alignment-of-the-strapdown-inertial-navigation-systemgps" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128940.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21677</span> Tactile Cues and Spatial Navigation in Mice</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rubaiyea%20Uddin">Rubaiyea Uddin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The hippocampus, located in the limbic system, is most commonly known for its role in memory and spatial navigation (as cited in Brain Reward and Pathways). It maintains an especially important role in specifically episodic and declarative memory. The hippocampus has also recently been linked to dopamine, the reward pathway’s primary neurotransmitter. Since research has found that dopamine also contributes to memory consolidation and hippocampal plasticity, this neurotransmitter is potentially responsible for contributing to the hippocampus’s role in memory formation. In this experiment we tested to see the effect of tactile cues on spatial navigation for eight different mice. We used a radial arm that had one designated 'reward' arm containing sucrose. The presence or absence of bedding was our tactile cue. We attempted to see if the memory of that cue would enhance the mice’s memory of having received the reward in that arm. The results from our study showed there was no significant response from the use of tactile cues on spatial navigation on our 129 mice. Tactile cues therefore do not influence spatial navigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mice" title="mice">mice</a>, <a href="https://publications.waset.org/abstracts/search?q=radial%20arm%20maze" title=" radial arm maze"> radial arm maze</a>, <a href="https://publications.waset.org/abstracts/search?q=memory" title=" memory"> memory</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20navigation" title=" spatial navigation"> spatial navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=tactile%20cues" title=" tactile cues"> tactile cues</a>, <a href="https://publications.waset.org/abstracts/search?q=hippocampus" title=" hippocampus"> hippocampus</a>, <a href="https://publications.waset.org/abstracts/search?q=reward" title=" reward"> reward</a>, <a href="https://publications.waset.org/abstracts/search?q=sensory%20skills" title=" sensory skills"> sensory skills</a>, <a href="https://publications.waset.org/abstracts/search?q=Alzheimer%E2%80%99s" title=" Alzheimer’s"> Alzheimer’s</a>, <a href="https://publications.waset.org/abstracts/search?q=neurodegnerative%20disease" title=" neurodegnerative disease"> neurodegnerative disease</a> </p> <a href="https://publications.waset.org/abstracts/21710/tactile-cues-and-spatial-navigation-in-mice" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21710.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">649</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21676</span> Testing the Impact of Landmarks on Navigation through the Use of Mobile-Based Games</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Demet%20Yesiltepe">Demet Yesiltepe</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruth%20Dalton"> Ruth Dalton</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayse%20Ozbil"> Ayse Ozbil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this paper is to understand the effect of landmarks on spatial navigation. For this study, a mobile-based virtual game, 'Sea Hero Quest' (SHQ), was used. At the beginning of the game, participants were asked to look at maps which included the specific locations of players and checkpoints. After the map disappeared, participants were asked to navigate a boat and find the checkpoints in a pre-given order. By analyzing this data, we aim to better understand an important component of cities, namely landmarks, on spatial navigation. Game levels were analyzed spatially and axial-based integration, choice and connectivity values of levels were calculated to make comparisons. To make this kind of a comparison, we focused on levels which include both local and global landmarks and levels which include only local landmarks. The most significant contribution of this study to urban design and planning fields is that it provides mounting evidence about the utility of landmarks and their roles in cities due to the fact that the game was played more than 2.5 million people. Moreover, by using these results, it can be possible to encourage cities with more global and local landmarks to have more identifiable/readable areas. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=landmarks" title="landmarks">landmarks</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile-based%20games" title=" mobile-based games"> mobile-based games</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20navigation" title=" spatial navigation"> spatial navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20environment" title=" virtual environment"> virtual environment</a> </p> <a href="https://publications.waset.org/abstracts/89074/testing-the-impact-of-landmarks-on-navigation-through-the-use-of-mobile-based-games" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89074.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">368</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21675</span> Simplified INS\GPS Integration Algorithm in Land Vehicle Navigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Othman%20Maklouf">Othman Maklouf</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdunnaser%20Tresh"> Abdunnaser Tresh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land vehicle navigation is subject of great interest today. Global Positioning System (GPS) is the main navigation system for positioning in such systems. GPS alone is incapable of providing continuous and reliable positioning, because of its inherent dependency on external electromagnetic signals. Inertial Navigation (INS) is the implementation of inertial sensors to determine the position and orientation of a vehicle. The availability of low-cost Micro-Electro-Mechanical-System (MEMS) inertial sensors is now making it feasible to develop INS using an inertial measurement unit (IMU). INS has unbounded error growth since the error accumulates at each step. Usually, GPS and INS are integrated with a loosely coupled scheme. With the development of low-cost, MEMS inertial sensors and GPS technology, integrated INS/GPS systems are beginning to meet the growing demands of lower cost, smaller size, and seamless navigation solutions for land vehicles. Although MEMS inertial sensors are very inexpensive compared to conventional sensors, their cost (especially MEMS gyros) is still not acceptable for many low-end civilian applications (for example, commercial car navigation or personal location systems). An efficient way to reduce the expense of these systems is to reduce the number of gyros and accelerometers, therefore, to use a partial IMU (ParIMU) configuration. For land vehicular use, the most important gyroscope is the vertical gyro that senses the heading of the vehicle and two horizontal accelerometers for determining the velocity of the vehicle. This paper presents a field experiment for a low-cost strap down (ParIMU)\GPS combination, with data post processing for the determination of 2-D components of position (trajectory), velocity and heading. In the present approach, we have neglected earth rotation and gravity variations, because of the poor gyroscope sensitivities of our low-cost IMU (Inertial Measurement Unit) and because of the relatively small area of the trajectory. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GPS" title="GPS">GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=IMU" title=" IMU"> IMU</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filter" title=" Kalman filter"> Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=materials%20engineering" title=" materials engineering"> materials engineering</a> </p> <a href="https://publications.waset.org/abstracts/3660/simplified-insgps-integration-algorithm-in-land-vehicle-navigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3660.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">422</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21674</span> Global Navigation Satellite System and Precise Point Positioning as Remote Sensing Tools for Monitoring Tropospheric Water Vapor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Panupong%20Makvichian">Panupong Makvichian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Global Navigation Satellite System (GNSS) is nowadays a common technology that improves navigation functions in our life. Additionally, GNSS is also being employed on behalf of an accurate atmospheric sensor these times. Meteorology is a practical application of GNSS, which is unnoticeable in the background of people’s life. GNSS Precise Point Positioning (PPP) is a positioning method that requires data from a single dual-frequency receiver and precise information about satellite positions and satellite clocks. In addition, careful attention to mitigate various error sources is required. All the above data are combined in a sophisticated mathematical algorithm. At this point, the research is going to demonstrate how GNSS and PPP method is capable to provide high-precision estimates, such as 3D positions or Zenith tropospheric delays (ZTDs). ZTDs combined with pressure and temperature information allows us to estimate the water vapor in the atmosphere as precipitable water vapor (PWV). If the process is replicated for a network of GNSS sensors, we can create thematic maps that allow extract water content information in any location within the network area. All of the above are possible thanks to the advances in GNSS data processing. Therefore, we are able to use GNSS data for climatic trend analysis and acquisition of the further knowledge about the atmospheric water content. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GNSS" title="GNSS">GNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=precise%20point%20positioning" title=" precise point positioning"> precise point positioning</a>, <a href="https://publications.waset.org/abstracts/search?q=Zenith%20tropospheric%20delays" title=" Zenith tropospheric delays"> Zenith tropospheric delays</a>, <a href="https://publications.waset.org/abstracts/search?q=precipitable%20water%20vapor" title=" precipitable water vapor"> precipitable water vapor</a> </p> <a href="https://publications.waset.org/abstracts/80479/global-navigation-satellite-system-and-precise-point-positioning-as-remote-sensing-tools-for-monitoring-tropospheric-water-vapor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80479.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21673</span> Location Detection of Vehicular Accident Using Global Navigation Satellite Systems/Inertial Measurement Units Navigator </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neda%20Navidi">Neda Navidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rene%20Jr.%20Landry"> Rene Jr. Landry</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicle tracking and accident recognizing are considered by many industries like insurance and vehicle rental companies. The main goal of this paper is to detect the location of a car accident by combining different methods. The methods, which are considered in this paper, are Global Navigation Satellite Systems/Inertial Measurement Units (GNSS/IMU)-based navigation and vehicle accident detection algorithms. They are expressed by a set of raw measurements, which are obtained from a designed integrator black box using GNSS and inertial sensors. Another concern of this paper is the definition of accident detection algorithm based on its jerk to identify the position of that accident. In fact, the results convinced us that, even in GNSS blockage areas, the position of the accident could be detected by GNSS/INS integration with 50% improvement compared to GNSS stand alone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driver%20behavior%20monitoring" title="driver behavior monitoring">driver behavior monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=integration" title=" integration"> integration</a>, <a href="https://publications.waset.org/abstracts/search?q=IMU" title=" IMU"> IMU</a>, <a href="https://publications.waset.org/abstracts/search?q=GNSS" title=" GNSS"> GNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=tracking" title=" tracking"> tracking</a> </p> <a href="https://publications.waset.org/abstracts/72798/location-detection-of-vehicular-accident-using-global-navigation-satellite-systemsinertial-measurement-units-navigator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72798.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">234</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21672</span> Exposure to Tactile Cues Does Not Influence Spatial Navigation in 129 S1/SvLm Mice</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rubaiyea%20Uddin">Rubaiyea Uddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Rebecca%20Taylor"> Rebecca Taylor</a>, <a href="https://publications.waset.org/abstracts/search?q=Emily%20Levesque"> Emily Levesque</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The hippocampus, located in the limbic system, is most commonly known for its role in memory and spatial navigation (as cited in Brain Reward and Pathways). It maintains an especially important role in specifically episodic and declarative memory. The hippocampus has also recently been linked to dopamine, the reward pathway’s primary neurotransmitter. Since research has found that dopamine also contributes to memory consolidation and hippocampal plasticity, this neurotransmitter is potentially responsible for contributing to the hippocampus’s role in memory formation. In this experiment we tested to see the effect of tactile cues on spatial navigation for eight different mice. We used a radial arm that had one designated “reward” arm containing sucrose. The presence or absence of bedding was our tactile cue. We attempted to see if the memory of that cue would enhance the mice’s memory of having received the reward in that arm. The results from our study showed there was no significant response from the use of tactile cues on spatial navigation on our 129 mice. Tactile cues therefore do not influence spatial navigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mice" title="mice">mice</a>, <a href="https://publications.waset.org/abstracts/search?q=radial%20arm%20maze" title=" radial arm maze"> radial arm maze</a>, <a href="https://publications.waset.org/abstracts/search?q=memory" title=" memory"> memory</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20navigation" title=" spatial navigation"> spatial navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=tactile%20cues" title=" tactile cues"> tactile cues</a>, <a href="https://publications.waset.org/abstracts/search?q=hippocampus" title=" hippocampus"> hippocampus</a>, <a href="https://publications.waset.org/abstracts/search?q=reward" title=" reward"> reward</a>, <a href="https://publications.waset.org/abstracts/search?q=sensory%20skills" title=" sensory skills"> sensory skills</a>, <a href="https://publications.waset.org/abstracts/search?q=Alzheimer%27s" title=" Alzheimer's"> Alzheimer's</a>, <a href="https://publications.waset.org/abstracts/search?q=neuro-degenerative%20diseases" title=" neuro-degenerative diseases"> neuro-degenerative diseases</a> </p> <a href="https://publications.waset.org/abstracts/17816/exposure-to-tactile-cues-does-not-influence-spatial-navigation-in-129-s1svlm-mice" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">689</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21671</span> Hybrid Control Mode Based on Multi-Sensor Information by Fuzzy Approach for Navigation Task of Autonomous Mobile Robot</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jonqlan%20Lin">Jonqlan Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Y.%20Tasi"> C. Y. Tasi</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20H.%20Lin"> K. H. Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper addresses the issue of the autonomous mobile robot (AMR) navigation task based on the hybrid control modes. The novel hybrid control mode, based on multi-sensors information by using the fuzzy approach, has been presented in this research. The system operates in real time, is robust, enables the robot to operate with imprecise knowledge, and takes into account the physical limitations of the environment in which the robot moves, obtaining satisfactory responses for a large number of different situations. An experiment is simulated and carried out with a pioneer mobile robot. From the experimental results, the effectiveness and usefulness of the proposed AMR obstacle avoidance and navigation scheme are confirmed. The experimental results show the feasibility, and the control system has improved the navigation accuracy. The implementation of the controller is robust, has a low execution time, and allows an easy design and tuning of the fuzzy knowledge base. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20mobile%20robot" title="autonomous mobile robot">autonomous mobile robot</a>, <a href="https://publications.waset.org/abstracts/search?q=obstacle%20avoidance" title=" obstacle avoidance"> obstacle avoidance</a>, <a href="https://publications.waset.org/abstracts/search?q=MEMS" title=" MEMS"> MEMS</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20control%20mode" title=" hybrid control mode"> hybrid control mode</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20control" title=" navigation control"> navigation control</a> </p> <a href="https://publications.waset.org/abstracts/26893/hybrid-control-mode-based-on-multi-sensor-information-by-fuzzy-approach-for-navigation-task-of-autonomous-mobile-robot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26893.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">466</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21670</span> Autonomous Kuka Youbot Navigation Based on Machine Learning and Path Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carlos%20Gordon">Carlos Gordon</a>, <a href="https://publications.waset.org/abstracts/search?q=Patricio%20Encalada"> Patricio Encalada</a>, <a href="https://publications.waset.org/abstracts/search?q=Henry%20Lema"> Henry Lema</a>, <a href="https://publications.waset.org/abstracts/search?q=Diego%20Leon"> Diego Leon</a>, <a href="https://publications.waset.org/abstracts/search?q=Dennis%20Chicaiza"> Dennis Chicaiza</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The following work presents a proposal of autonomous navigation of mobile robots implemented in an omnidirectional robot Kuka Youbot. We have been able to perform the integration of robotic operative system (ROS) and machine learning algorithms. ROS mainly provides two distributions; ROS hydro and ROS Kinect. ROS hydro allows managing the nodes of odometry, kinematics, and path planning with statistical and probabilistic, global and local algorithms based on Adaptive Monte Carlo Localization (AMCL) and Dijkstra. Meanwhile, ROS Kinect is responsible for the detection block of dynamic objects which can be in the points of the planned trajectory obstructing the path of Kuka Youbot. The detection is managed by artificial vision module under a trained neural network based on the single shot multibox detector system (SSD), where the main dynamic objects for detection are human beings and domestic animals among other objects. When the objects are detected, the system modifies the trajectory or wait for the decision of the dynamic obstacle. Finally, the obstacles are skipped from the planned trajectory, and the Kuka Youbot can reach its goal thanks to the machine learning algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20navigation" title="autonomous navigation">autonomous navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=path%20planning" title=" path planning"> path planning</a>, <a href="https://publications.waset.org/abstracts/search?q=robotic%20operative%20system" title=" robotic operative system"> robotic operative system</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20source%20computer%20vision%20library" title=" open source computer vision library"> open source computer vision library</a> </p> <a href="https://publications.waset.org/abstracts/101726/autonomous-kuka-youbot-navigation-based-on-machine-learning-and-path-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101726.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">177</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=global%20navigation%20system&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=global%20navigation%20system&page=3">3</a></li> <li class="page-item"><a class="page-link" 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