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.

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

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

Open Source scanning laser rangefinder

Advanced implementation of LOAM

3D LIDAR-based Graph SLAM

An extension of Open3D to address 3D Machine Learning tasks

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.

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"

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

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

🎓Automatically Update CV Papers Daily using Github Actions

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

loam code noted in Chinese（loam中文注解版）

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]