There are 72 repositories under lidar topic.
A curated list of awesome data labeling tools
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
3D LIDAR-based Graph SLAM
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
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"
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
DJI Onboard SDK Official Repository
loam code noted in Chinese(loam中文注解版)
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Photogrammetry Guide. Learn all about the process of obtaining measurements and 3D models from photos. Creating topographic maps, meshes, or point clouds based on the real-world.
Interactive Map Correction for 3D Graph SLAM
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
LiDAR SLAM: Scan Context + LeGO-LOAM
Real-time 3D localization using a (velodyne) 3D LIDAR
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
Point cloud registration pipeline for robot localization and 3D perception
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Javascript 3D maps and geospatial data visualization engine library
NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.
Ground Segmentation from Lidar Point Clouds