Title :
An obstacle detection and avoidance of a mobile robot with stereo vision camera
Author :
Hamzah, Rostam Affendi ; Rosly, Hasrul Nisham ; Hamid, Saad
Author_Institution :
Fac. of Electron. & Comput. Eng., UTeM, Ayer Keroh, Malaysia
Abstract :
This paper presents an obstacle detection and avoidance of mobile robot using stereo camera for indoor environment. Block matching algorithm is solved the correspondence problem occurred in comparing stereo images (left and right sensors of the camera). The algorithm uses Sum of Absolute Differences (SAD). Left image works as a reference block to the right image and the output is disparity mapping or depth maps with the left coordinate system. A pair of camera or stereo vision baseline is based on horizontal configuration. The block matching technique is briefly described with the performance of its output. The curve fitting tool would determine the range of each obstacle detected in disparity mapping. The programming activities are using Matlab software starting from capturing images until navigation of mobile robot.
Keywords :
cameras; collision avoidance; curve fitting; image matching; mobile robots; object detection; robot vision; stereo image processing; Matlab software; block matching algorithm; curve fitting; disparity mapping; mobile robot navigation; obstacle avoidance; obstacle detection; stereo images; stereo vision camera; sum of absolute differences; Cameras; Mathematical model; Mobile robots; Navigation; Pixel; Robot vision systems; Stereo vision; Block matching; disparity mapping; epipolar line; obstacle detection; stereo vision;
Conference_Titel :
Electronic Devices, Systems and Applications (ICEDSA), 2011 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-61284-388-9
DOI :
10.1109/ICEDSA.2011.5959032