先進運転支援システムの構成と応用に関するレビュー
Composition and Application of Current Advanced Driving Assistance System: A Review
ADASのハードウェアやセンサ、アルゴリズムを体系的に整理し、従来手法と最新研究、中国における今後の展望をまとめたレビュー論文。
著者: Xinran Li, Kuo-Yi Lin, Min Meng, Xiuxian Li, Li Li, Yiguang Hong, Jie Chen
分類: cs.AI, cs.RO
原文アブストラクト
Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price. The latest progress in this field has called for a review to sum up the conventional knowledge of ADAS, the state-of-the-art researches, and novel applications in real-world. With the help of this kind of review, newcomers in this field can get basic knowledge easier and other researchers may be inspired with potential future development possibility. This paper makes a general introduction about ADAS by analyzing its hardware support and computation algorithms. Different types of perception sensors are introduced from their interior feature classifications, installation positions, supporting ADAS functions, and pros and cons. The comparisons between different sensors are concluded and illustrated from their inherent characters and specific usages serving for each ADAS function. The current algorithms for ADAS functions are also collected and briefly presented in this paper from both traditional methods and novel ideas. Additionally, discussions about the definition of ADAS from different institutes are reviewed in this paper, and future approaches about ADAS in China are introduced in particular.
関連論文
- DriveMCP: 先進運転支援システムのためのエージェント型AIフレームワーク自動運転/ADAS
- 動的運転環境における最適なドライバー警告生成自動運転/ADAS
- 視覚ベース運転支援システム:サーベイ・分類・進展自動運転/ADAS
