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Precise Robot Localization in Architectural 3D Plans
[article]
2020
arXiv
pre-print
This paper presents a localization system for mobile robots enabling precise localization in inaccurate building models. The approach leverages local referencing to counteract inherent deviations between as-planned and as-built data for locally accurate registration. We further fuse a novel image-based robust outlier detector with LiDAR data to reject a wide range of outlier measurements from clutter, dynamic objects, and sensor failures. We evaluate the proposed approach on a mobile robot in a
arXiv:2006.05137v1
fatcat:msmnsoessrfxzo3evekbhvhpe4