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2006

Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT

9 years 3 months ago
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially when dealing with omnidirectional vision. In this work, we propose a new approach that reduces the number of features generated by SIFT as well as their extraction and matching time. With the help of a Particle Filter, we demonstrate that we can still localize the mobile robot accurately with a lower number of features. c 2006 Elsevier B.V. All rights reserved.
Hashem Tamimi, Henrik Andreasson, André Tre
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where RAS
Authors Hashem Tamimi, Henrik Andreasson, André Treptow, Tom Duckett, Andreas Zell
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