Evaluating the effect of illumination on the performance of visual odometry in underground mining environments
Author(s) -
Ian Greyvensteyn
Publication year - 2020
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.5204/thesis.eprints.204294
Subject(s) - visual odometry , odometry , reliability (semiconductor) , position (finance) , artificial intelligence , computer vision , computer science , key (lock) , remote sensing , environmental science , engineering , geography , robot , power (physics) , physics , computer security , finance , quantum mechanics , economics , mobile robot
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