lonlonago/Lidar-object-clustering-AND-ground-remove

Self-Supervised LiDAR Ground Segmentation [CVPR 2026]

A C++ library for ground segmentation of a pointcloud

Numpy-only dynamic object removal for LiDAR point clouds — 3D box crop + temporal filtering. No GPU, no deep learning.

A lidar perception system, including ground-filter, cluster, minbox, tracking and state estimation.

ROS2 wrapper for the ground_segmentation library

Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

[RAL & ESI Highly Cited 🏆] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.