FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization
Ling Gao, Laurent Kneip

TL;DR
This paper introduces FP-Loc, a lightweight LiDAR localization framework that uses floor plans and vertical structure detection to achieve accurate, drift-free, full 6-DoF positioning in various scenes.
Contribution
It presents a novel nearest neighbor data structure and a pose graph optimization method for efficient, accurate, and drift-free LiDAR localization using floor plans.
Findings
Demonstrates highly accurate long-term localization
Achieves drift-free results in multiple scenes
Efficient vertical structure element lookup
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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