semantic_slam from rangenet_lib

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

[IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

This is a point cloud editor which is very useful to delete/patch/save point cloud for traversibility map.

A Semantic-SLAM for 3D LiDAR & Visualized by OpenGL & Without ROS

HD ground mapping by accumulation of scan data

Laser SLAM; Semantic-assisted point cloud matching; LiDAR/IMU fusion pose estimation; Loop closure detection; SubMap

Ground Segmentation from Lidar Point Clouds

Are you ready for fast and robust ground-segmentation for all terrain robots?

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans

Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans

A point cloud segmentation algorithm based on clustering analysis