成果報告書詳細
管理番号20090000000113
タイトル*平成20年度中間年報 エネルギーITS推進事業 協調走行(自動運転)に向けた研究開発
公開日2009/7/10
報告書年度2008 - 2008
委託先名財団法人日本自動車研究所
プロジェクト番号P08018
部署名省エネルギー技術開発部 研究開発グループ
和文要約以下本編抜粋:1.研究開発の内容および成果等 第1章 全体企画、実証実験および評価 1.1 全体企画 隊列走行を中心にコンセプトを策定。実用化時期やインフラ整備を考慮し2種類のコンセプトを構築した。また欧米の大学・研究機関での自動運転や運転支援システムの技術調査を実施した。特に米国DARPA「アーバンチャレンジ」トップ3のカーネギーメロン大・スタンフォード大・バージニア工科大では、搭載センサと制御ソフトについて討議。ベロダイン社の3Dレンジファインダをもとに物体のクラスタリング処理を実施していた。これらを参考にして、さらに高い信頼性を持った全体仕様を構築した。また、日米欧の専門家を集めて第1回ワークショップを企画開催し、情報共有化と連携を深めた。
英文要約This project is aimed at establishing the fundamental technologies of automated driving and vehicle platooning for helping to reduce CO2 emissions. The objectives for FY 2008 were to clarify the overall system concept and key technology specifications and collect fundamental data. "1. Overall planning" Two vehicle platooning concepts were developed, considering the deployment time and infrastructure implementation. Related technologies being researched at European and U.S. universities and research institutes were surveyed. The findings were then used to develop highly reliable system specifications. The first workshop was also organized for specialists from Japan, Europe and the U.S. to share information and promote closer cooperation. "2. Development of automated driving technologies" A vehicle motion model for automated driving and platooned vehicles was designed, and the necessary coefficients were extracted by conducting parameter identification tests. An automated steering system with parallel redundant equipment was designed and fabricated. The specified performance targets were attained in bench test evaluations, so the system was installed in a test vehicle and test results confirmed that it operated normally. "3. Development of driving environment recognition technology" As a passive sensor system, an algorithm for detecting white lane markers was developed using evaluated camera images, and a device for recognizing lane marker images was fabricated. As an active sensor system, the ability of a laser to detect white lane markers was confirmed in basic evaluations. A laser for detecting inter-vehicle spacing was also evaluated. "4. Development of position recognition technology" The requirements for 3D electronic road map data were summarized, specifications were developed for land features data, and sample data were created. Specifications were determined for real-time self-position location technology and for the target driving path as a function. "5. Development of inter-vehicle communication technology" A radio wave propagation test conducted with large trucks confirmed that sufficient field strength was obtainable regardless of the antenna position so long as the inter-vehicle distance was within 20 m. "6. Development of technologies for automated driving and vehicle platooning" The overall data flow was designed for a parallel redundant configuration with high reliability. The required equipment specifications were developed, and an automated driving control model were designed using a simulator. The basic principles of the control system were confirmed by simulation. "7. Development of energy-saving driving control technology" A simulation of a platoon of three large trucks confirmed the large energy-saving effect of vehicle platooning. At a speed of 80 km/h and an inter-vehicle spacing of 4 m, aerodynamic drag was reduced by 29% on average and fuel consumption was reduced by 14%.
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