LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
- lidar-odometry
- lidar-slam
- loam-velodyne
- lidar-inertial
Repository Index
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Python package for the evaluation of odometry and SLAM
- slam
- odometry
- evaluation
- metrics
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.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
An open source platform for visual-inertial navigation research.
- visual-inertial-odometry
- slam
- msckf
- sensor-calibration
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
- loam
- iros
- ieee
- lidar
A LiDAR odometry pipeline that just works
- 3d-mapping
- icp
- lidar-slam
- slam
Semi-direct Visual Odometry
Index repo for Kimera code
- robotics
- computer-vision
- semantics
- 3d-reconstruction
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
- velodyne
- ros
- loam-velodyne
- lidar
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
- loam
- livox-lidar
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
- loam
- slam
- aloam
- localization
Robotics with GPU computing
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
AI-IMU Dead-Reckoning
- imu
- state-estimation
- inertial-odometry
- localization
X Inertial-aided Visual Odometry
- vio
- visual-inertial
- odometry
- slam
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
- visual-inertial-odometry
- msckf
- localization
- ekf-mono-slam
RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.
- articulated-body-algorithm
- inverse-dynamics
- forward-dynamics
- multi-body-dynamics
Dense Visual Odometry and SLAM
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
- robotics
- lidar
- slam
- calibration
This repository maintains the implementation of "Event-based Stereo Visual Odometry".
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
- slam
- robotics
- state-estimation
- visual-slam
Geometry-Aware Monocular RGB Planning
Translated2026 Northeastern University T-DT Lab RoboMaster Robotics Competition (RoboMaster University Championship) Sentry Localization Open Source
- lidar-imu-odometry
- livox-mid360
- localization
- relocalization