A Fast Matching Algorithm for Images with Large Scale Disparity and its Application on UAV Autonomous Navigation
| dc.contributor.author | Chen, Shichu | |
| dc.contributor.supervisor | Wan-Quan Liu | en_US |
| dc.contributor.supervisor | Ling Li | en_US |
| dc.date.accessioned | 2021-12-15T09:20:54Z | |
| dc.date.available | 2021-12-15T09:20:54Z | |
| dc.date.issued | 2020 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/86859 | |
| dc.description.abstract |
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. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | A Fast Matching Algorithm for Images with Large Scale Disparity and its Application on UAV Autonomous Navigation | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | MPhil | en_US |
| curtin.department | School of Electrical Engineering, Computing and Mathematical Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |