DocumentCode :
2109012
Title :
An obstacle detection algorithm based on U-V disparity map analysis
Author :
Zhang, Min ; Liu, Peizhi ; Zhao, Xiaochuan ; Zhao, Xinxin ; Zhang, Yuan
Author_Institution :
North Inst. of Comput. Applic., Beijing, China
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
763
Lastpage :
766
Abstract :
An obstacle detection algorithm based on U-V disparity map analysis is presented in this paper. We firstly introduce the obstacle detection mechanism using U-V disparity map generated from stereo match disparity map, and then an obstacle detection algorithm based on analysis of U-V disparity map characteristic is described. The combination of straight line fitting and the standard Hough Transform are used in processing the initial disparity map, and the experimental results demonstrate that this algorithm is efficient and has the strong robustness to the change of illumination and obstacles.
Keywords :
Hough transforms; collision avoidance; intelligent robots; mobile robots; robot vision; stereo image processing; Hough Transform; U-V disparity map analysis; obstacle detection algorithm; stereo match disparity map; straight line fitting; Algorithm design and analysis; Detection algorithms; Intelligent robots; Lighting; Mobile communication; Pixel; Transforms; U-V disparity map; disparity validation; line fitting; obstacle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Information Security (ICITIS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6942-0
Type :
conf
DOI :
10.1109/ICITIS.2010.5689679
Filename :
5689679
Link To Document :
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