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

下载

页码：125 / 127

页数：3

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