3D LIDAR-based Graph SLAM
- ros
- slam
- lidar
- velodyne
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3D LIDAR-based Graph SLAM
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.
Robotics with GPU computing
A Modular Optimization framework for Localization and mApping (MOLA)
Interactive Map Correction for 3D Graph SLAM
Point cloud registration pipeline for robot localization and 3D perception
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
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
Filters the robot's body out of point clouds and laser scans.