A Survey of Driving Risk Assessment for Autonomous Vehicles
Conducting a thorough driving risk assessment is important for the driving safety of autonomous vehicles.In this paper,the existing driving risk assessment methods are divided into three categories,namely,the single object-oriented methods,the reachability set-based methods,and the potential field-based methods.In order to conduct a comprehensive comparison of these methods and reveal their distinct characteristics and applicability,the paper proposes five evaluation dimensions,including real-time capability,the duration of the valid prediction horizon,application feasibility,the inclusion of various risk sources and adaptability in different scenarios.The research gaps and potential future research directions in driving risk assessment for autonomous vehicles are analyzed and prospected.
国家科技期刊平台
NSTL
万方数据
