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Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments
In particular, our integration of VPR with SLAM by leveraging the robustness of deep-learned features and our homography-based extreme viewpoint invariance significantly boosts the performance of VPR, feature correspondence, and pose graph submodules of the SLAM pipeline.
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