Fast vanishing point detection method based on road border region estimation

被引:15
|
作者
Wang, Ende [1 ]
Sun, Anan [1 ,2 ]
Li, Yong [1 ,2 ]
Hou, Xukui [1 ]
Zhu, Yalong [1 ]
机构
[1] Chinese Acad Sci, Key Lab Opt Elect Image Proc, 114 Nanta St, Shenyang, Liaoning, Peoples R China
[2] Northeastern Univ, Informat Sci & Engn, 3-11 Wenhua Rd, Shenyang, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
edge detection; roads; object detection; fast vanishing point detection method; road border region estimation; vanishing point estimation method; line-soft-voting; maximum weight; TRACKING;
D O I
10.1049/iet-ipr.2017.0030
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The vanishing point is the converging point at which the road boundaries extend to the distance. It can be used to estimate the road region in a complicated environment. As the vanishing point detection algorithms for the unstructured road often take long time and they could not adapt to the image with complex environment of the road, in this study, the authors propose a vanishing point estimation method based on road boundaries region estimation. This method uses the boundary direction of the voting points in the border region to estimate the vanishing point by the line-soft-voting based on maximum weight. This method has fast calculation speed, and it can overcome the influence of the shadow and the complex environment on the surface of the road in many cases.
引用
收藏
页码:361 / 373
页数:13
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