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原文传递 Robustness Improvement Method of Lane Detection Based on Optimized Recognizable ROI Zone

题名：	Robustness Improvement Method of Lane Detection Based on Optimized Recognizable ROI Zone
正文语种：	中文
作者：	Liu Xiaonan Chen Wenjin Li Weihua Liu Jie
作者单位：	Nissan Passenger Vehicle Company;South China University of Technology Nissan Passenger Vehicle Company China University of Technology
关键词：	lane detection robustness optimized recognizable zone image RGB information hough transform
摘要：	Lane detection is the key technology to realize autonomous driving,however the traditional lane detection method is af-fected by the non-lane line with complex background information,resulting in the poor lane detection robustness and recognition rate.In order to improve the robustness of lane detection,an improved method of lane detection based on optimized recognizable ROI zone is proposed in this paper.It is achieved through dynamically identifying the ROI zone,eliminating the image RGB information outside the lane,as well as limiting Hough peak detection space.The verified results show that the method can effectively filter the influence of the non-lane straight line in the background image,thus improving the robustness of lane detection.
会议日期：	20171024
会议举办地点：	上海
会议名称：	第19届亚太汽车工程年会暨2017中国汽车工程学会年会
出版日期：	1024-01-20
母体文献：	第19届亚太汽车工程年会暨2017中国汽车工程学会年会论文集