Slam
Showing 11 of 83 projects
A curated collection of LiDAR place recognition methods, datasets, and algorithms for robotics and autonomous systems.
C++ libraries for multi primitive-to-primitive ICP algorithms and flexible point cloud processing pipelines.
Open-source training material for ROS 2 Foxy covering robotics fundamentals, navigation, and manipulation.
A ROS2 wrapper for OpenSlam's Gmapping, enabling mobile robots to create 2D occupancy grid maps from laser and pose data.
A ROS catkin package for correcting motion distortion in LiDAR scans using external 6DoF pose estimation.
A deep learning approach that unifies global place recognition and local 6DoF pose refinement for robust relocalization in large-scale 3D point clouds.
A robust, low-drift, real-time SLAM package for the Livox Horizon LiDAR, designed for highway autonomous driving scenarios.
ROS2 package for 3D occupancy grid mapping using OctoMap, enabling real-time environment modeling.
A collection of ROS 2 demonstration packages for the TurtleBot 2 platform, including teleoperation, following, mapping, and localization.
Build persistent cloud-based AR apps that anchor digital content to real-world locations using ARKit and Swift.
A ROS2 port of LeGO-LOAM, a lightweight and ground-optimized LiDAR odometry and mapping system for ground vehicles.
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