3D LIDAR-based Graph SLAM
- ros
- slam
- lidar
- velodyne
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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.
- velodyne
- ros
- loam-velodyne
- lidar
Robotics with GPU computing
A Modular Optimization framework for Localization and mApping (MOLA)
- slam
- lidar
- lidar-point-cloud
- localization
Interactive Map Correction for 3D Graph SLAM
- ros
- slam
- lidar
- velodyne
DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
- msp
- telemetry
- wifibroadcast
- dronebridge
Point cloud registration pipeline for robot localization and 3D perception
- robot-localization
- localization
- robotics
- mapping
Detect 6-DOF grasp poses in point clouds
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.
Use LiDAR to map the static world
- slam
- lidar
- lidar-point-cloud
- gps
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
- fiducial-markers
- lidar
- point-clouds
- cassie
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
- slam
- icp
- point-clouds
- registration
Filters the robot's body out of point clouds and laser scans.
- ros
- filter
- laser
- pointcloud