FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization

March 01, 2022 Β· Declared Dead Β· πŸ› IEEE International Conference on Robotics and Automation

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Authors Ling Gao, Laurent Kneip arXiv ID 2203.00292 Category cs.RO: Robotics Cross-listed cs.CV Citations 10 Venue IEEE International Conference on Robotics and Automation Last Checked 4 months ago
Abstract
We present a novel framework for floor plan-based, full six degree-of-freedom LiDAR localization. Our approach relies on robust ceiling and ground plane detection, which solves part of the pose and supports the segmentation of vertical structure elements such as walls and pillars. Our core contribution is a novel nearest neighbour data structure for an efficient look-up of nearest vertical structure elements from the floor plan. The registration is realized as a pair-wise regularized windowed pose graph optimization. Highly efficient, accurate and drift-free long-term localization is demonstrated on multiple scenes.
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