DocumentCode :
2610329
Title :
Vehicle Lateral Position Estimation Method Based on Matching of Top-View Images
Author :
Teshima, Tomoaki ; Saito, Hideo ; Ozawa, Shinji ; Yamamoto, Keiichi ; Ihara, Toru
Author_Institution :
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama
Volume :
4
fYear :
0
fDate :
0-0 0
Firstpage :
626
Lastpage :
629
Abstract :
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
Keywords :
edge detection; feature extraction; image matching; image registration; image sequences; motion estimation; road vehicles; traffic engineering computing; transforms; feature extraction; flow vectors; homography; image registration; lane markers; moving camera image sequence; plane projective transform; top-view image matching; vehicle lateral position estimation; Cameras; Computer science; Global Positioning System; Image converters; Image motion analysis; Image sensors; Mobile robots; Optical sensors; Remotely operated vehicles; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.1166
Filename :
1699919
Link To Document :
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