A Fast Matching Algorithm for Images with Large Scale Disparity and its Application on UAV Autonomous Navigation
Access Status
Fulltext not available
Embargo Lift Date
2023-12-14
Authors
Chen, Shichu
Date
2020Supervisor
Wan-Quan Liu
Ling Li
Type
Thesis
Award
MPhil
Metadata
Show full item recordFaculty
Science and Engineering
School
School of Electrical Engineering, Computing and Mathematical Sciences
Collection
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.
Related items
Showing items related by title, author, creator and subject.
-
Weber, Keven (1998)Giving robots the ability to move around autonomously in various real-world environments has long been a major challenge for Artificial Intelligence. New approaches to the design and control of autonomous robots have shown ...
-
Nadarajah, Nandakumaran; Paffenholz, J.; Teunissen, Peter (2014)Direct geo-referencing is an efficient methodology for the fast acquisition of 3D spatial data. It requires the fusion of spatial data acquisition sensors with navigation sensors, such as Global Navigation Satellite System ...
-
Amankwah, Anthony; Aldrich, Chris (2012)Motion Estimation is an important research field with many applications including remote sensing, surveillance, navigation, process control, and image compression. One of the popular methods used for motion estimation is ...