PX4 Autopilot Software
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PX4 Autopilot Software
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Advanced implementation of LOAM
A LiDAR odometry pipeline that just works
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.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Interactive Map Correction for 3D Graph SLAM
Point cloud registration pipeline for robot localization and 3D perception
[ICRA] Crowd-aware Robot Navigation
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
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.
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
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
Catkin package that provides lidar motion undistortion based on an external 6DoF pose estimation input.
Translated2026 Northeastern University T-DT Lab RoboMaster Robotics Competition (RoboMaster University Championship) Sentry Localization Open Source