Long-range stereo visual odometry for unmanned aerial vehicles


Autoria(s): Warren, Michael David
Data(s)

2015

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

http://eprints.qut.edu.au/80107/

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