Available Lane Detection based on Radon Transform

被引:0
作者
Deng, Xixi [1 ]
Wang, XiaoNian [1 ]
Zhu, Jin [1 ]
机构
[1] Tongji Univ, Sch Elect & Informat Engn, Shanghai 201804, Peoples R China
来源
ADVANCED DEVELOPMENT OF ENGINEERING SCIENCE IV | 2014年 / 1046卷
关键词
Autonomous vehicle; Lane detection; Perspective Transform; Texture direction; Radon transform;
D O I
10.4028/www.scientific.net/AMR.1046.415
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To solve lane detection problem in the system of autonomous vehicle, this paper proposes a method of texture segment based on perspective transformation. In this paper, firstly road images were captured through cameras installed on the vehicle, then make a perspective transform to road plane, so that the road and the non-road texture information effectively stand out. After calculation of the texture trend in the transformed image, radon transform can effectively distinguish between the road and the non-road area, and achieve the purpose of the texture regional segment. Experiments prove that this method can be used on the lane detection, which eliminate barriers and road borders effectively.
引用
收藏
页码:415 / 424
页数:10
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