A Vision-Guided Mobile Robot Design For Real-Time Object Tracking

Among the navigation methods of Automated Guided Vehicle,vision navigation is developing rapidly because it has such merits as plenty of information and accuracy ,where image processing is important.Therefore, improving exactness and robustness of target recognition,we can not only decrease tracking error, and also increase adaptability and automation of vision- navigated Automated Guided Vehicle.Design the control system and orientation algorithm,aimed at image processing techniques of guidance images, related research is implemented. Based on template convolution, resolve the noise disturbance of image Image segmentation based on differential operator implements edge detection of target. Target recognition is the key technique in image processing. Based on benetic algorithm, the algorithm of target recognition is suggested, the location of Automated Guided Vehicle can be obtained through coordinate system transformation.According to the above methods, the image collection card is developed using Visual C++ language, making it implement image collection target recognition. The experiment results show that the vision navigation system can efficiently perform the tracking of target, and that the recognition algorithm can satisfy the requirements of the system.