Overview of Environment Perception for Intelligent Vehicles

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...

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Published inIEEE transactions on intelligent transportation systems Vol. 18; no. 10; pp. 2584 - 2601
Main Authors Hao Zhu, Ka-Veng Yuen, Mihaylova, Lyudmila, Leung, Henry
Format Journal Article
LanguageEnglish
Published IEEE 01.10.2017
Subjects
environment perception and modeling
Feature extraction
Intelligent sensors
Intelligent vehicles
lane and road detection
Laser radar
Roads
scene understanding
traffic sign recognition
vehicle tracking and behavior analysis
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Summary: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.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2017.2658662