From Software-Defined Vehicles to Self-Driving Vehicles: A Report on CPSS-Based Parallel Driving

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.

• Record URL:
  https://doi.org/10.1109/MITS.2018.2876575
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19391390
• Supplemental Notes:
  • Copyright © 2018, IEEE.
• Authors:
  • Han, Shuangshuang
  • Cao, Dongpu
  • Li, Li
  • Li, Lingxi
  • Li, Shengbo Eben
  • Zheng, Nan-ning
  • Wang, Fei-Yue
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 6-14
• Serial:
  • IEEE Intelligent Transportation Systems Magazine
  • Volume: 11
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1939-1390
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Cloud computing; Intelligent vehicles; Software
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01692175
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 4 2019 2:46PM