关键词: 组合驾驶辅助；自动驾驶系统；人机交互；高速碰撞；事故深度分析

Abstract: In the environments of highways and express lanes, the L2 intelligent vehicle automated driving assistance system (ADAS) faces more stringent safety challenges. Once there is a situation where the driver's attention is distracted or there are blind spots in the system's functional coverage, it is highly likely to trigger serious traffic accidents. This paper focuses on an in-depth analysis of a typical accident in which a small passenger car, while driving at a high speed with the active cruise control and automatic steering assistance functions activated, collides severely with a fixed retaining wall ahead. During the research process, multi-source data such as the event data recorder system and in-vehicle logs are comprehensively compared. Moreover, closely combining with the working principles of the autonomous driving system in aspects such as perception and recognition, decisionmaking and planning, and human-machine interaction, the key causes for the vehicle's transition from smooth driving to high-speed collision within a short period are systematically and comprehensively sorted out. This study reveals numerous challenging problems that urgently need to be addressed in the human-machine interaction aspect of the current L2 intelligent vehicle ADAS, providing a theoretical basis and practical guidance for enhancing the safety and reliability of the intelligent driving assistance system

Key words: combined driving assistance; automated driving system; human-machine interaction; high-speed collision; in-depth accident analysis