lidar

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.

Open Source scanning laser rangefinder

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.

Advanced implementation of LOAM

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

An extension of Open3D to address 3D Machine Learning tasks

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"

🚕 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