RF-LOAM: Robust and Fast LiDAR Odometry and Mapping in Urban Dynamic Environment
Jiong Li,
Xudong Zhang,
Yu Zhang
et al.
Abstract:In urban dynamic environment, most of the existing works on LiDAR SLAM are based on static scene assumption and are greatly affected by dynamic obstacles. In order to solve this problem, this paper is based on F-LOAM, and adopts FA-RANSAC algorithm, improved ScanContext algorithm and global optimization to propose a robust and fast LiDAR Odometry and Mapping (RF-LOAM). Firstly, the Region Growing algorithm is used to cluster the fan-shaped grids. Then, we propose FA-RANSAC algorithm base on feature information… Show more
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