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基于机器视觉的智能车辆前方道路边界及车道标识识别方法综述
引用本文:余天洪,王荣本,顾柏园,郭烈.基于机器视觉的智能车辆前方道路边界及车道标识识别方法综述[J].公路交通科技,2006,23(1):139-142,158.
作者姓名:余天洪  王荣本  顾柏园  郭烈
作者单位:吉林大学,交通学院,吉林,长春,130025
基金项目:国家自然科学基金项目(50175046),教育部重点科技项目(00037)
摘    要:为了全面了解国内外在基于机器视觉的智能车辆前方道路边界及车道标识识别领域的研究进展,文章介绍了近年来一些典型的基于机器视觉的道路边界及车道标识识别系统,对基于机器视觉的前方道路边界及车道标识识别方法进行了分类,对各大类方法中采用的不同技术进行了阐述,然后对基于机器视觉与其他传感器融合的识别方法进行了总结,最后就该领域的研究难点及发展趋势进行了简要论述。

关 键 词:智能车辆  机器视觉  道路边界  车道标识
文章编号:1002-0268(2006)01-0139-04
收稿时间:2004-08-18
修稿时间:2004-08-18

Survey on the Vision-based Recognition Methods of Intelligent Vehicle Road Boundaries and Lane Markings
YU Tian-hong,WANG Rong-ben,GU Bai-yuan,GUO Lie.Survey on the Vision-based Recognition Methods of Intelligent Vehicle Road Boundaries and Lane Markings[J].Journal of Highway and Transportation Research and Development,2006,23(1):139-142,158.
Authors:YU Tian-hong  WANG Rong-ben  GU Bai-yuan  GUO Lie
Institution:Transportation College, Jilin University, Jilin Changchun 130025, China
Abstract:To comprehensively tmderstand the progress in the research field of vision-based recognition of intelligent vehicle road boundaries and lane markings in the world, this paper introduced some typical vision-based road boundaries and lane markings recognition system in the last decades, classified the vision-based recognition methods of Intelligent Vehicle road botmdaries and lane markings, expatiated the different technique in every classified method, simply summarized the method based on the integrating vision and other sensors, finally discussed the dificulty and development trends in this research field briefly.
Keywords:Intelligent vehicle  Machine vision  Road botmdary  Lane marking
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