Vehicle lateral position estimation method based on matching of top-view images

被引:0
|
作者
Teshima, Tomoaki [1 ]
Saito, Hideo [1 ]
Ozawa, Shinji [1 ]
Yamamoto, Keiichi [2 ]
Hara, Toru [2 ]
机构
[1] Keio Univ, Dept Informat & Comp Sci, 3-14-1 Hiyoshi, Kanagawa 2238522, Japan
[2] Mitsubishi Fuso Truck & Bus Corp, Kanagawa 2110023, Japan
关键词
D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a method to estimate the lateral position of the vehicle from a sequence of moving camera images is proposed. Proposed method relies on the plane projective transform (Homography) between the ground and the image plane of the present and the next frame. Homographies are obtained according to the information of the calibrated camera and the vehicles' speed. The movement of the camera is obtained by the registration of the 2 consecutive input images. The proposed method does not rely on extraction of features such as lines, flow vectors or lane markers, but based on matching of warped top-view images between two consecutive frames. Therefore, vehicle movement can be estimated even from images without such explicit image features or without special sensors or GPS. In this paper, experiments are done with both synthesized and real images and enough accuracy is shown even compared to conventional method.
引用
收藏
页码:626 / +
页数:2
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