标题:A lane detection method based on feature point segmented fitting
作者:Bai, Meng ;Li, Min Hua ;Lv, Ying Jun
通讯作者:Bai, Meng
作者机构:[Bai, Meng ;Li, Min Hua ;Lv, Ying Jun ] Department of Electrical Engineering and Information Technology, Shandong University of Science and Technology 更多
会议名称:International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014
会议日期:June 22, 2014 - June 23, 2014
来源:Applied Mechanics and Materials
出版年:2014
卷:644-650
页码:990-993
DOI:10.4028/www.scientific.net/AMM.644-650.990
摘要:To detect lane from structured road, this paper presents a novel lane detection method based on feature point segmented fitting approach. Firstly, feature points are extracted from the edge image, and then segmented fitting approach based on least squares is used to obtain the line equation of feature points, and the lane recognizing criterion for fitted line equation is further proposed to detect lane. Finally, the lane tracking method is proposed to detect lane in video frames. Experimental results demonstrate that the proposed lane detection method can effectively detect lane of structured road. © (2014) Trans Tech Publications, Switzerland.
收录类别:EI
资源类型:会议论文
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