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.

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

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

🎓Automatically Update CV Papers Daily using Github Actions

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

GLIM: versatile and extensible point cloud-based 3D localization and mapping framework

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

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

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

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.