PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry
Author:
Affiliation:
1. School of Electrical Engineering and KI-AI at KAIST (Korea Advanced Institute of Science and Technology),Daejeon,South Korea,34141
Funder
Technology Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9826134/9826135/09826238.pdf?arnumber=9826238
Reference41 articles.
1. Random sample consensus
2. 3D Lidar SLAM Based on Ground Segmentation and Scan Context Loop Detection
3. A simple ground segmentation method for LiDAR 3D point clouds
4. A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles
5. Fast segmentation of 3D point clouds for ground vehicles
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