LANE DETECTION BASED ON HOUGH TRANSFORM AND ENDPOINTS CLASSIFICATION

被引：0
|
作者：
Mao, He [1 ]
Xie, Mei [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Image Proc & Informat Secur Lab, Chengdu 610054, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (LCWAMTIP) | 2012年
关键词：
Lane Detection; Gaussian Distribution; Hough Transform; Endpoints Classification; Linear Fitting;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Road boundary recognition is one of the key technologies of intelligent vehicle based on machine vision and lane lines can be used in road boundary identification. This paper proposes a lane line enhancement method based on the Gaussian distribution. After Hough transform, a method to classify the endpoints that belong to different lane lines and a way to show the lane lines are provided. The experiments results show that the method is effective and reliable.
引用
收藏
页码：125 / 127
页数：3
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