欢迎访问《汽车安全与节能学报》，
汽车安全与节能学报

JASE ›› 2017, Vol. 08 ›› Issue (01): 1-14.DOI: 10.3969/j.issn.1674-8484.2017.01.001

• 综述与展望 •    下一篇

智能网联汽车( ICV ) 技术的发展现状及趋势

李克强1，戴一凡2，李升波1，边明远1   

  1. 1. 清华大学 汽车安全与节能国家重点实验室，北京 100084，中国；
    2. 清华大学 苏州汽车研究院，苏州 215200，中国
  • 收稿日期:2017-02-28 出版日期:2017-03-23 发布日期:2017-03-23
  • 作者简介:李克强，清华大学汽车工程系教授，教育部“长江学者”特聘教授，国家智能网联汽车产业技术创新战略联盟专家委员会主任，兼任先进车辆控制国际科学委员会委员，《国际车辆自主操作系统》和《国际智能交通系统研究学报》编委，《国际汽车设计学报》、《国际汽车系统动力学学报》审稿人等。主要从事智能网联汽车、车辆动力学与控制等方向的研究。
  • 基金资助:

    国家重点研发计划(2016YFB0101102, 2016YFB0100906)

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

LI Keqiang1, DAI Yifan2, LI Shengbo1, BIAN Mingyuan1   

  1. 1. State Key Lab of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;
    2. Suzhou Automotive Research Institute, Tsinghua University, Suzhou 215200, China
  • Received:2017-02-28 Online:2017-03-23 Published:2017-03-23
  • About author:Prof. LI Keqiang，a professor of the Department of Automotive Engineering of Tsinghua University and a professor of “Changjiang Scholars Program”; one of the expert committee directors of the China Industry Technology Innovation Strategic Alliance for the Intelligent and Connected Vehicles (CAIV); a member of Advanced Vehicle Control (AVEC) international scientific committee, an editorial board member of the “International Journal of Vehicle Autonomous Systems” and the “International Journal of ITS Research”, and a reviewer of the “International Journal of Vehicle Design” and the “International Journal of Vehicle System Dynamics”, etc. His research field covers intelligent and connected vehicles, vehicle dynamics and control.

PDF

5971

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。

关键词: 智能网联汽车(ICV) , 驾驶辅助, 人机共驾, 无人驾驶

Abstract:

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.

Key words: intelligent and connected vehicle (ICV), driver assistance, cooperative driving, driverless car