跳到主要导航 跳到搜索 跳到主要内容

From software-defined vehicles to self-driving vehicles: A report on CPSS-based parallel driving

  • Shuangshuang Han
  • , Dongpu Cao
  • , Li Li
  • , Lingxi Li
  • , Shengbo Eben Li
  • , Nan Ning Zheng
  • , Fei Yue Wang
  • CAS - Institute of Automation
  • Qingdao Academy of Intelligent Industries
  • Qingdao Huituo Intelligent Machine Company
  • Cranfield University
  • Tsinghua University
  • Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies
  • Purdue University
  • University of Chinese Academy of Sciences
  • National University of Defense Technology

科研成果: 期刊稿件文章同行评审

30 引用 (Scopus)

摘要

On June 11th, 2017, the 28th IEEE Intelligent Vehicles Symposium (IV'2017) was held in Redondo Beach, California, USA. As one of the 8 workshops at IV'2017, the cyber-physical-social systems (CPSS)-based parallel driving (WS'08), organized by the State Key Laboratory for Management and Control of Complex Systems (SKL-MCCS), Institute of Automation, Chinese Academy of Sciences, China, Xi'an Jiaotong University, China, Tsinghua University, China, Indiana University-Purdue University Indianapolis, USA, and Cranfield University, U.K, has attracted both researchers and practitioners in intelligent vehicles. About 60-70 participants from various countries had extensive and deep discussions on definition, challenges and alternative solutions for CPSS-based parallel driving, and widely agreed that it is a novel paradigm of cloud-based automated driving technologies. Six speakers shared their ideas, studies, field applications, and vision for future along these emerging directions from software-defined vehicles to self-driving vehicles.

源语言英语
文章编号8510904
页(从-至)6-14
页数9
期刊IEEE Intelligent Transportation Systems Magazine
11
1
DOI
出版状态已出版 - 1 3月 2019

学术指纹

探究 'From software-defined vehicles to self-driving vehicles: A report on CPSS-based parallel driving' 的科研主题。它们共同构成独一无二的指纹。

引用此