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SAIL-MAP: Loop-closure detection using saliency-based features | IEEE Conference Publication | IEEE Xplore

SAIL-MAP: Loop-closure detection using saliency-based features


Abstract:

Loop-closure detection, which is the ability to recognize a previously visited place, is of primary importance for robotic localization and navigation problems. We here i...Show More

Abstract:

Loop-closure detection, which is the ability to recognize a previously visited place, is of primary importance for robotic localization and navigation problems. We here introduce SAIL-MAP, a method for loop-closure detection based on vision only, applied to topological simultaneous localization and mapping (SLAM). Our method allows the matching of camera images using a novel saliency-based feature detector and descriptor. These features have been designed to benefit from the robustness to viewpoint change and image perturbations of bio-inspired saliency algorithms. Additionally, the same algorithm is used for the detector and descriptor. The results obtained on different large-scale data sets demonstrate the efficiency of the proposed solution for localization problems.
Date of Conference: 14-18 September 2014
Date Added to IEEE Xplore: 06 November 2014
ISBN Information:

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Conference Location: Chicago, IL, USA

References

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