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Proceedings Paper

Navigation system for a small size lunar exploration rover with a monocular omnidirectional camera
Author(s): Mickaël Laîné; Silvia Cruciani; Emanuele Palazzolo; Nathan J. Britton; Xavier Cavarelli; Kazuya Yoshida
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Paper Abstract

A lunar rover requires an accurate localisation system in order to operate in an uninhabited environment. However, every additional piece of equipment mounted on it drastically increases the overall cost of the mission. This paper reports a possible solution for a micro-rover using a sole monocular omnidirectional camera. Our approach relies on a combination of feature tracking and template matching for Visual Odometry. The results are afterwards refined using a Graph-Based SLAM algorithm, which also provides a sparse reconstruction of the terrain. We tested the algorithm on a lunar rover prototype in a lunar analogue environment and the experiments show that the estimated trajectory is accurate and the combination with the template matching algorithm allows an otherwise poor detection of spot turns.

Paper Details

Date Published: 11 July 2016
PDF: 8 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100111M (11 July 2016); doi: 10.1117/12.2242871
Show Author Affiliations
Mickaël Laîné, Tohoku Univ. (Japan)
Silvia Cruciani, KTH Royal Institute of Technology (Sweden)
Emanuele Palazzolo, Univ. of Bonn (Germany)
Nathan J. Britton, iSpace Inc. (Japan)
Xavier Cavarelli, ENSIIE (France)
Kazuya Yoshida, Tohoku Univ. (Japan)

Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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