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Appl. Sci. 2017, 7(12), 1294; https://doi.org/10.3390/app7121294

Robust Visual Localization with Dynamic Uncertainty Management in Omnidirectional SLAM

1,†,* , 1,†
,
1,†
,
2,†
and
1,†
1
Department of Systems Engineering and Automation, Miguel Hernández University, Av. de la Universidad s/n. Ed. Innova, 03202 Elche, Spain
2
Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutierrez Abascal 2, 28006 Madrid, Spain
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 24 October 2017 / Revised: 5 December 2017 / Accepted: 7 December 2017 / Published: 12 December 2017
(This article belongs to the Section Computer Science and Electrical Engineering)
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Abstract

This work presents a robust visual localization technique based on an omnidirectional monocular sensor for mobile robotics applications. We intend to overcome the non-linearities and instabilities that the camera projection systems typically introduce, which are especially relevant in catadioptric sensors. In this paper, we come up with several contributions. First, a novel strategy for the uncertainty management is developed, which accounts for a realistic visual localization technique, since it dynamically encodes the instantaneous variations and drifts on the uncertainty, by defining an information metric of the system. Secondly, an epipolar constraint adaption to the omnidirectional geometry reference is devised. Thirdly, Bayesian considerations are also implemented, in order to produce a final global metric for a consistent feature matching between images. The resulting outcomes are supported by real data experiments performed with publicly-available datasets, in order to assess the suitability of the approach and to confirm the reliability of the main contributions. Besides localization results, real visual SLAM (Simultaneous Localization and Mapping) comparison experiments with acknowledged methods are also presented, by using a public dataset and benchmark framework. View Full-Text
Keywords: omnidirectional images; visual SLAM; visual localization omnidirectional images; visual SLAM; visual localization
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Valiente, D.; Gil, A.; Payá, L.; Sebastián, J.M.; Reinoso, Ó. Robust Visual Localization with Dynamic Uncertainty Management in Omnidirectional SLAM. Appl. Sci. 2017, 7, 1294.

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