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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
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
An extension of Open3D to address 3D Machine Learning tasks
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Nov 14, 2022
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The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
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Oct 21, 2022
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🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
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Nov 6, 2022
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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
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Jun 13, 2022
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SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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May 4, 2022
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Python
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