Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
风险地图作为中间件:迈向风险感知的可解释协作端到端自动驾驶
机构 * Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University(教育部道路与交通工程重点实验室,同济大学) ; UCLA Mobility Lab, University of California, Los Angeles(加州大学洛杉矶分校UCLA移动实验室)
AI总结 本文提出RiskMM框架,通过风险地图中间件提升自动驾驶的可解释性和风险感知规划能力。
Comments IEEE RA-L