[B! 自動運転] R2Mのブックマーク

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href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/GPU/" > GPU </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/vulkan/" > vulkan </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/youtube/" > youtube </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/%E3%82%B7%E3%82%B9%E3%83%86%E3%83%A0/" > システム </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/%E4%BA%A4%E9%80%9A/" > 交通 </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92/" > 機械学習 </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92/" > 深層学習 </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/%E8%87%AA%E5%8B%95%E8%BB%8A/" > 自動車 </a> </li> <li> <a href="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/%E8%BB%8A/" > 車 </a> </li> </ul> <p class="centerarticle-sub-navi-more"> <a href="/R2M/bookmark">タグの絞り込みを解除</a> </p> </div> </div> <div class="center-container"> <div class="centerarticle-title-container"> <h2 class="centerarticle-title"> 自動運転に関するR2Mのブックマーク (28) </h2> </div> <div class="js-user-bookmark-item-autoload-container" data-next-page-path="/R2M/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2/?page=2" data-next-xhr-path="/api/users/R2M/bookmarks?tag=%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2&page=2" data-next-label="次のページ" > <script type="text/x-template" id="template-short-url-click"> {{#tweet_url}} <a href="{{tweet_url}}" target="_blank" rel="noopener noreferrer" data-gtm-click-label="reaction-twitter-clicks"><span>{{count}} clicks</span></a> {{/tweet_url}} {{^tweet_url}} <span>{{count}} clicks</span> {{/tweet_url}} </script> <script type="text/x-template" id="template-bookmark-item"> {{^is_wiped}} <li class="bookmark-item js-user-bookmark-item js-intent-share-bookmark" data-target-url="{{url}}"> <div class="centerarticle-entry {{#has_image}}is-image-entry-unit{{/has_image}}"> <h3 class="centerarticle-entry-title"> <a href="{{url}}" 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title="【自動運転】信号機認識に挑む / 走行画像15,000枚のアノテーションとYOLOXモデルによる深層学習実践 (128ブックマーク)" data-gtm-click-label="user-bookmark-users">128 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fzenn.dev%2Fturing_motors" title="『zenn.dev/turing_motors』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> zenn.dev/turing_motors </a> </li> <li><a href="/hotentry/it" data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">こんにちは。<a data-gtm-click-label="entry-summary-keyword" href="/q/TURING">TURING</a>株式会社でインターンをしている、東京大学学部3年の三輪と九州大学修士1年の岩政です。 <a data-gtm-click-label="entry-summary-keyword" href="/q/TURING">TURING</a>は完全自動運転EVの開発・販売を目指すスタートアップです。私たちの所属する自動運転MLチームでは完全自動運転の実現のため、<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>モデルの開発や走行データパイプラインの整備を行っています。完全自動運転を目指すうえで避けて通れない課題の一つに信号機の認識があります。<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>が信号機の表示を正しく理解することは、自動運転が手動運転よりも安全な運転を達成するために欠かせません。信号機を確実に認識したうえで、周囲の状況を総合的に判断して車体を制御し、安全かつ快適な走行を実現する必要があります。 <a data-gtm-click-label="entry-summary-keyword" href="/q/TURING">TURING</a>では信号機の認識に取り組むため、15,000枚規模のデータセットを準備し、高精度なモデルのための調査・研究を開始しました。この記事ではデータセットの内製とその背景にフォーカスしつつ</p> <a href="https://zenn.dev/turing_motors/articles/70c5072c04d04c" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img 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data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">Uberが開発を進めていた自動運転車が道路を横断している人をはねて死なせてしまった事故の様子を克明に捉えた車載カメラの映像が、警察当局によって公開されました。そこからは、事故を起こした車両に乗って動作を監視する役目を担っていたスタッフの確認不十分だった疑いも浮かび上がっています。この映像はアリゾナ州テンピの警察が公式<a data-gtm-click-label="entry-summary-keyword" href="/q/twitter">Twitter</a>で公開したもの。ツイートには「テンピ警察の車両事故班は3月18日に発生した事故の詳細について調査中。調査についての情報が更新された際には公表予定」というコメントが添えられています。 <a data-gtm-click-label="entry-summary-keyword" href="/q/temp">Temp</a>e Police Vehicular Crimes Un<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a> is actively investigating the det<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">ai</a>ls of this incident that occurred on March 18th. We will provide updated</p> <a href="https://gigazine.net/news/20180322-uber-accicent-driver/" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/b4258ec7fd39e0ccc714da2a45b22b755053f35e/height=288;version=1;width=512/https%3A%2F%2Fi.gzn.jp%2Fimg%2F2018%2F03%2F22%2Fuber-accicent-driver%2F00_m.jpg" alt="Uberの自動運転車が横断者をはねて死なせた事故の車載カメラ映像が公開、ドライバーの確認不足の疑いも"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-360825344"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://gigazine.net/news/20180322-uber-accicent-driver/" data-user-name="R2M"> <a href="/R2M/" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="https://cdn.profile-image.st-hatena.com/users/R2M/profile.png" alt="R2M" title="R2M" class="centerarticle-reaction-image"> </a> <div 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href="/q/%E8%B5%B7%E6%A5%AD">起業</a>家やイノベーターたちが一堂に会するこのイベントで、日産自動車会長であるカルロス・ゴーン氏と、フォーブスジャパン高野真氏が登壇しました。精力的に自動運転<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%8A%80%E8%A1%93">技術</a>に<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%8A%95%E8%B3%87">投資</a>し続けている日産。その<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%8A%80%E8%A1%93">技術</a>進歩がもたらす世界とはどのようなものなのでしょうか。※トークセッションは<a data-gtm-click-label="entry-summary-keyword" href="/q/%E8%8B%B1%E8%AA%9E">英語</a>で行われ、ログミーが翻訳・ログ化しています。重要な変化は、車の電動化・コネクティビティ・自動運転高野真氏（以下、高野）：おはようございます。今日私はとてもワクワクしています。大変有名なグローバル・リーダーであるカルロス・ゴーン氏が隣に座っていらっしゃるからです。 <a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>日は、新しい<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%86%E3%82%AF%E3%83%8E%E3%83%AD%E3%82%B8%E3%83%BC">テクノロジー</a>である自動運転<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%8A%80%E8%A1%93">技術</a>について、お話をうかがいたいと思います。ゴーンさん、<a data-gtm-click-label="entry-summary-keyword" 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