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

Open Source scanning laser rangefinder

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Advanced implementation of LOAM

3D LIDAR-based Graph SLAM

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.

An extension of Open3D to address 3D Machine Learning tasks

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"

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.

Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

loam code noted in Chinese（loam中文注解版）

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

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

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)