Towards the Next Level of Vehicle Automation Through Cooperative Driving: A Roadmap From Planning and Control Perspective

Author:

Wang Haoran1ORCID,Feng Yongwei1ORCID,Tian Yonglin2ORCID,Wang Ziran3ORCID,Hu Jia1ORCID,Tomizuka Masayoshi4ORCID

Affiliation:

1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China

2. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. College of Engineering, Purdue University, West Lafayette, IN, USA

4. Department of Mechanical Engineering, University of California, Berkeley, CA, USA

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Shanghai Automotive Industry Science and Technology Development Foundation

Tongji Zhongte Chair Professor Foundation

Shanghai Sailing Program

Shanghai Post-doctoral Excellence Program

China Postdoctoral Science Foundation

Science Fund of State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference116 articles.

1. An automated driving systems data acquisition and analytics platform

2. Connected automated vehicle impacts in Southern California part-II: VMT, emissions, and equity

3. Autonomous vehicle market size, industry analysis and forecast to 2026;Jain,2020

4. A Pathway Forward: The Evolution of Intelligent Vehicles Research on IEEE T-IV

5. Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles;SAE Int.,2018

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