視覚ベース運転支援システム:サーベイ・分類・進展
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
視覚を用いた先進運転支援システム(ADAS)の研究を整理し、統一的な用語と分類法を提案するとともに、自動運転に向けた応用開発を形式化する抽象モデルを示したサーベイ論文。
著者: Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Yogamani
分類: cs.RO, cs.CV
原文アブストラクト
Vision-based driver assistance systems is one of the rapidly growing research areas of ITS, due to various factors such as the increased level of safety requirements in automotive, computational power in embedded systems, and desire to get closer to autonomous driving. It is a cross disciplinary area encompassing specialised fields like computer vision, machine learning, robotic navigation, embedded systems, automotive electronics and safety critical software. In this paper, we survey the list of vision based advanced driver assistance systems with a consistent terminology and propose a taxonomy. We also propose an abstract model in an attempt to formalize a top-down view of application development to scale towards autonomous driving system.
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
- 先進運転支援システムの構成と応用に関するレビュー自動運転/ADAS
