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dc.contributor.authorChen, Shichu
dc.contributor.supervisorWan-Quan Liuen_US
dc.contributor.supervisorLing Lien_US
dc.date.accessioned2021-12-15T09:20:54Z
dc.date.available2021-12-15T09:20:54Z
dc.date.issued2020en_US
dc.identifier.urihttp://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.publisherCurtin Universityen_US
dc.titleA Fast Matching Algorithm for Images with Large Scale Disparity and its Application on UAV Autonomous Navigationen_US
dc.typeThesisen_US
dcterms.educationLevelMPhilen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusFulltext not availableen_US
curtin.facultyScience and Engineeringen_US
dc.date.embargoEnd2023-12-14


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