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In this paper, we present a novel approach for visual loop-closure detection in autonomous robot navigation. Our method uses locality sensitive hashing (LSH) as the basic technique for matching the binary visual features in the current view of a robot with the visual features in the robot appearance map. We show that this approach is highly efficient in comparison with using non-binary visual features...
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