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Automatic Visual Bag-of-Words for Online Robot Navigation and Mapping

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2 Author(s)
Nicosevici, T. ; Comput. Vision & Robot. Group, Univ. of Girona, Girona, Spain ; Garcia, R.

Detecting already-visited regions based on their visual appearance helps reduce drift and position uncertainties in robot navigation and mapping. Inspired from content-based image retrieval, an efficient approach is the use of visual vocabularies to measure similarities between images. This way, images corresponding to the same scene region can be associated. State-of-the-art proposals that address this topic use prebuilt vocabularies that generally require a priori knowledge of the environment. We propose a novel method for appearance-based navigation and mapping where the visual vocabularies are built online, thus eliminating the need for prebuilt data. We also show that the proposed technique allows efficient loop-closure detection, even at small vocabulary sizes, resulting in a higher computational efficiency.

Published in:

Robotics, IEEE Transactions on  (Volume:28 ,  Issue: 4 )

Date of Publication:

Aug. 2012

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