A Fast Matching Algorithm for Images with Large Scale Disparity and its Application on UAV Autonomous Navigation
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.
|dc.title||A Fast Matching Algorithm for Images with Large Scale Disparity and its Application on UAV Autonomous Navigation||en_US|
|curtin.department||School of Electrical Engineering, Computing and Mathematical Sciences||en_US|
|curtin.accessStatus||Fulltext not available||en_US|
|curtin.faculty||Science and Engineering||en_US|