This repository is a collection of paper with open-sourced codes for LiDAR-based mapping methods. It includes LiDAR-based odometry, dynamic object removal, and multiple map merging frameworks, which is essential for long-term robotic autonomy.
If you find any work missing or misclassified, feel free to send me suggestions or updates via pull request or issues!
Thanks to the authors of the LiDAR Odometry Survey and Awesome LiDAR Place Recognition for inspiring this work.
24.07.07
: Update 6 papers (SR-LIO, PIN-SLAM, I2EKF-LIO, FMCW-LIO, Dyna-LO, SeFlow)24.06.05
: Add DLC-SLAM via PR24.06.03
: First public commit
Summary | Repository |
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evo: Python package for the evaluation of odometry and SLAM | |
DynamicMap_Benchmark | |
Cloud Map Evaluation |
- Awesome LiDAR
- Awesome 3D LiDAR Datasets
- Awesome LiDAR Place Recognition
- Awesome Pointcloud Scene Flow
- Awesome Pointclouds Registration
- Awesome Implicit NeRF SLAM
Gilhwan Kang : [email protected]