ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
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Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
- velodyne
- ros
- loam-velodyne
- lidar
A collection of GICP-based fast point cloud registration algorithms
- point-cloud
- pcl
- gicp
- icp
C++ client for making HTTP/REST requests
- restclient
- libcurl
- packagecloud
- c-plus-plus
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
Web Serving and Remote Procedure Calls at 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & REST over io_uring ☎️
- cpython
- epoll
- fast-api
- flask
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
- catkin
- velodyne-sensor
- segmentation
- clustering
A lean C++ library for working with point cloud data
- point-cloud
- icp
- ransac
- convex-hull
Robotics with GPU computing
A Modular Optimization framework for Localization and mApping (MOLA)
- slam
- lidar
- lidar-point-cloud
- localization
Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.
- agent-framework
- ai-agent
- automotive
- edge-ai
Interactive Map Correction for 3D Graph SLAM
- ros
- slam
- lidar
- velodyne
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
- lidar-object-tracking
- object-tracking
- lidar-navigation
- multiple-object-tracking
Point cloud registration pipeline for robot localization and 3D perception
- robot-localization
- localization
- robotics
- mapping
Multi-threaded and SSE friendly NDT algorithm
- ros
- pcl
- ndt-algorithm
- multithreading
Polygonal Surface Reconstruction from Point Clouds (C++ & Python)
- surface-reconstruction
- urban-modeling
- urban-reconstruction
- primitive-extraction
Ground Segmentation from Lidar Point Clouds
- lidar
- ros
- segmentation
Detect 6-DOF grasp poses in point clouds
My awesome point cloud labeling tool
- semantickitti
- velodyne
- point-clouds
- labeling
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
- pointclouds
- 3-d
- visualization
- lidar
Converts a 3D Point Cloud into a 2D laser scan.
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.