人本协同自动驾驶系统的演进脉络、关键挑战与未来展望OA

With the development of autonomous driving systems,the increasingly prominent bottleneck of"long-tail scenarios"demonstrates that the technology-driven"automation substitution"approach lacks a complete definition of human roles,human-machine relationships,and system ethics.First,the evolutionary pathways of autonomous driving systems from"tool-based assistance"to"automation-led"and ultimately to"collaborative control"were traced,and the fundamental transformation of the human-machine relationship from one-way control to two-way collaboration was elucidated.Secondly,to address key challenges that restrict the improvement of collaborative efficiency,such as the establishment and maintenance of dynamic trust mechanisms,the real-time optimal allocation of control permissions,and the construction of two-way collaborative interaction paradigms,their inherent logic,influencing factors,and existing bottlenecks at the levels of cognitive mechanisms,control theory,and interaction design were expounded on.Finally,developing human state perception and modeling technologies based on multi-source fusion,exploring adaptive collaborative control architectures based on real-time evaluation,and realizing the interaction paradigm shift from"one-way notification"to"two-way collaboration"were systematically proposed,which refined the future development pathways of autonomous driving systems.Through a review of existing theories,technical routes,and application cases,systematic theoretical support and practical references are provided for promoting the development of understandable,trustworthy,and widely acceptable"human-centered collaborative"autonomous driving systems.