Long-range stereo visual odometry for unmanned aerial vehicles
Data(s) |
2015
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Resumo |
This thesis explored the utility of long-range stereo visual odometry for application on Unmanned Aerial Vehicles. Novel parameterisations and initialisation routines were developed for the long-range case of stereo visual odometry and new optimisation techniques were implemented to improve the robustness of visual odometry in this difficult scenario. In doing so, the applications of stereo visual odometry were expanded and shown to perform adequately in situations that were previously unworkable. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/80107/1/Michael_Warren_Thesis.pdf Warren, Michael David (2015) Long-range stereo visual odometry for unmanned aerial vehicles. PhD thesis, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Visual Odometry #Stereo Vision #Computer Vision #Unmanned Aerial Vehicles #Pose Estimation #Drones |
Tipo |
Thesis |