ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
- slam-algorithms
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ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Python package for the evaluation of odometry and SLAM
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Universal grid map library for mobile robotic mapping
A Modular and Multi-Modal Mapping Framework
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
A LiDAR odometry pipeline that just works
:zap: The Mobile Robot Programming Toolkit (MRPT)
Robot-centric elevation mapping for rough terrain navigation
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