A fancy self-hosted monitoring tool
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Python sample codes and textbook for robotics algorithms.
A fancy, easy-to-use and reactive self-hosted docker compose.yaml stack-oriented manager
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
A self-hosted data logger for your Tesla 🚘 [main maintainer=@JakobLichterfeld]
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
g2o: A General Framework for Graph Optimization
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.
An open source platform for visual-inertial navigation research.
:sunglasses: A curated list of robotics libraries and software
A Modular and Multi-Modal Mapping Framework
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LSD-SLAM
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
Ruby on Jets
Advanced implementation of LOAM
A LiDAR odometry pipeline that just works
3D LIDAR-based Graph SLAM
:zap: The Mobile Robot Programming Toolkit (MRPT)
Index repo for Kimera code
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A Versatile and Accurate Monocular SLAM