智能网联汽车(ICV)技术的发展现状及趋势  

State-of-the-art and technical trends of intelligent and connected vehicles

作　　者：李克强[1] 戴一凡[2] 李升波[1] 边明远[1] 

机构地区：[1]清华大学汽车安全与节能国家重点实验室 [2]清华大学苏州汽车研究院

出　　处：《汽车安全与节能学报》2017年第1期1-14,共14页Journal of Automotive Safety and Energy

基　　金：国家重点研发计划(2016YFB0101102;2016YFB0100906)

摘　　要：综述了智能网联汽车(ICV)技术的发展现状及趋势。ICV的体系架构包括价值链、技术链与产业链。ICV的4个发展阶段是:自主式驾驶辅助、网联式驾驶辅助、人机共驾、高度自动/无人驾驶;关键技术有:环境感知、智能决策、控制执行、人机共驾、通信与平台、信息安全等。由于ICV是未来汽车技术发展的一个重要方向,其技术与产业发展是中国汽车工业转型升级的重要机遇;因而,中国要发展智能网联汽车,就应该充分结合本国体制优势,依托顶层设计。The state-of-the-art and technical trends of intelligent and connected vehicle（ICV） are illustrated. The ICV system architecture included the value chain, technology chain and industrial chain. The four stages of ICVs were the advanced assistance, connected assistance, cooperative automation and highly/fully automated driving. Some key technologies of ICVs were introduced such as environmental perception, decision making, dynamical control, human-machine copilot, V2X communication and platform, cyber security. Therefore, China should develop the ICV industry rely on the top-down design by using the national institutional advantages because the ICV will be an important direction of the automotive technology in the future, and the ICV development is a great opportunity for the transformation and upgrading of China’s automobile industry.

关 键 词：智能网联汽车(ICV) 驾驶辅助 人机共驾 无人驾驶 

分 类 号：U469.79[机械工程—车辆工程]