A Fast Matching Algorithm for Images with Large Scale Disparity and its Application on UAV Autonomous Navigation
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In this thesis, the fast matching algorithm for images with large scale disparity is proposed. The new method is of better matching performance and faster matching speed, which provides a possible solution for UAV navigation by means of computer vision. Then the UAV autonomous navigation algorithm is designed, and the effectiveness is proved in the experiments. Therefore, this thesis provides a smart and feasible navigation method for broader applications of UAVs in the future.
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