FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 4 of its 28 references that are in the map. First posted on arXiv 1 Mar 2022.
Builds on
4 of 28 references.
References · 4
- 2020LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mappingcited by 185
- 2019Tightly Coupled 3D Lidar Inertial Odometry and Mappingcited by 34
- 2019Robot Localization in Floor Plans Using a Room Layout Edge Extraction Networkcited by 26
- 2020Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignmentcited by 12
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.