LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
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Advanced implementation of LOAM
3D LIDAR-based Graph SLAM
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
A Modular Optimization framework for Localization and mApping (MOLA)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Interactive Map Correction for 3D Graph SLAM
Point cloud registration pipeline for robot localization and 3D perception
Ground Segmentation from Lidar Point Clouds
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
Intensity-based_Lidar_Camera_Calibration
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Use LiDAR to map the static world
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds