智能网联汽车架构、功能与应用关键技术

Survey of intelligent and connected vehicle technologies:Architectures,functions and applications

智能化技术与网联化技术的快速进步促进智能化车辆由驾驶辅助到无人驾驶、由单车智能到多车协同的方向发展。智能网联汽车技术能提升交通安全与效率,但也面临着来自真实交通环境的复杂挑战。该文基于智能网联汽车架构、功能与应用3方面关键技术,对用于单车自主式驾驶与网联协同式驾驶的智能网联汽车研究进行分析。首先,针对系统架构设计,分析了有关智能车辆平台架构与车-路-云一体化架构的研究;其次,面向人-车-路多因素耦合的真实交通环境,重点分析了感知、决策、控制3种关键功能技术的发展现状、面临挑战与前沿探索;最后,阐述了不同等级智能网联汽车技术的产业落地情况和特点,并对其未来发展趋势进行展望。

The rapid development of intelligent and connected vehicles(ICV) in recent years promotes theoretical research in related fields from driving assistance to automated driving, from single-vehicle intelligent driving to multi-vehicle cooperative driving.ICV systems are expected to improve traffic safety and efficiency, but they face complex challenges in real traffic environment. This paper presents a survey of ICV technologies relating to 3 aspects: system architecture design, functional technology and application. This survey first introduces typical architectures of ICV, and then the development and challenges of three key functional technologies: perception, decision making and control, in consideration of driver-vehicle-road interactions in real traffic environment. Finally, this paper analyzes ICV applications in typical scenarios and the future development of related technologies.