A Dynamic Points Removal Benchmark in Point Cloud Maps
Author:
Affiliation:
1. KTH Royal Institute of Technology,Division of Robotics Perception, and Learning (RPL),Stockholm,Sweden,11428
2. Robotics Institute, The Hong Kong University of Science and Technology,Hong Kong SAR,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422094.pdf?arnumber=10422094
Reference21 articles.
1. SLICT: Multi-Input Multi-Scale Surfel-Based Lidar-Inertial Continuous-Time Odometry and Mapping
2. Robust Odometry and Mapping for Multi-LiDAR Systems With Online Extrinsic Calibration
3. FAST-LIO2: Fast Direct LiDAR-Inertial Odometry
4. ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building
5. Remove, then Revert: Static Point cloud Map Construction using Multiresolution Range Images
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