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A study of mobile robot localization using omnidirectional images

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2 Author(s)
Yuya Sasaki ; Department of Machine Intelligence and Systems Engineering, Akita Prefectural University, Akita, Japan ; Masaki Ishii

In this study, we investigated mobile robot localization, which is necessary for an autonomous mobile robot. Specifically, mobile robot localization was studied using image information obtained from an omnidirectional camera, which is a camera with a 360-degree field of view. A robot learns omnidirectional images using self-organizing maps (SOM), and it generates a Localization Classifier. Thus, we verified effectiveness of the Localization Classifier for mobile robot localization.

Published in:

SICE Annual Conference (SICE), 2012 Proceedings of

Date of Conference:

20-23 Aug. 2012