Developing a computer vision based obstacle detection and avoidance for transformer robot
he purpose of this thesis project is to develop a computer vision based system that uses stereo camera to be implemented in SGU TBot. The system is capable of detecting obstacles and makes decision to avoid the obstacles. The focus will be on exploiting the stereo camera's features to provide information required by the system to do obstacle detection and avoidance. Stereo camera is employed in this project because of its capability to provide a lot of information about the environment. Depthrninformation from the right and left image which is extremely useful in detecting closed or far-distanced objects is supported by the use of stereo camera as the main input sensor. Disparity map generation is the key to obstacle detection and avoidance. This thesis project will mostly discuss about stereo camera's features and disparity map generation. Several algorithms are then used to the disparity map in order to get needed information, which is useful for obstacle detection and avoidance.
B01338 | (wh) | Available |
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