期刊
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷 18, 期 10, 页码 2584-2601出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2017.2658662
关键词
Intelligent vehicles; environment perception and modeling; lane and road detection; traffic sign recognition; vehicle tracking and behavior analysis; scene understanding
资金
- National Natural Science Foundation of China [61301033]
- Wenfeng Talents of Chongqing University of Posts and Telecommunications
- Research Fund of young-backbone university teacher in Chongqing province
- Innovation Team Project of Chongqing Education Committee [CXTDX201601019]
- Research Funds of Chongqing University of Posts and Telecommunications [A2012-25, A2012-81]
- Mobility Grant with China
- U.K. Royal Society fund [E150823]
This paper presents a comprehensive literature review on environment perception for intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent vehicles are given, with a summary of their pros and cons. A special attention is paid to methods for lane and road detection, traffic sign recognition, vehicle tracking, behavior analysis, and scene understanding. In addition, we provide information about datasets, common performance analysis, and perspectives on future research directions in this area.
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