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Mobile Robot Localization Under Varying Illumination
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104840916th International Conference on Patt ...
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Matjaž Jogan, University of Ljubljana
Aleš Leonardis, University of Ljubljana
Horst Wildenauer, Vienna University of Technology
Horst Bischof, Graz University of Technology
Methods for mobile robot localization that use eigenspaces of panoramic snapshots of the environment are in general sensitive to changes in the illumination of the environment. Therefore, we propose an approach which achieves a reliable localization under severe illumination conditions. The method uses gradient filtering of the eigenspace. After testing the approach on images obtained by a mobile robot, we show that it outperforms the standard eigenspace-based recognition method.
Citation:
Matjaž Jogan, Aleš Leonardis, Horst Wildenauer, Horst Bischof, "Mobile Robot Localization Under Varying Illumination," icpr, vol. 2, pp.20741, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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