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.
Overview of Environment Perception for Intelligent Vehicles
IEEE Transactions on Intelligent Transportation Systems ; 18 , 10 ; 2584-2601
01.10.2017
4875314 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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