A computationally efficient and robust LiDAR-inertial odometry (LIO) package
- lidar-odometry
- livox-avia-lidar
Repository Index
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LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
- lidar-odometry
- lidar-slam
- loam-velodyne
- lidar-inertial
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
- 3d-reconstruction
- colored-point-cloud
- gaussian-splatting
- lidar-camera-fusion
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
Low cost motion capture system for room scale tracking
- autonomous-robots
- bundle-adjustment
- computer-vision
- epipolar-geometry
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
- slam
- lidar-slam
- 3d-reconstruction
- mesh-reconstruction
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
DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
- msp
- telemetry
- wifibroadcast
- dronebridge
X Inertial-aided Visual Odometry
- vio
- visual-inertial
- odometry
- slam
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
- visual-inertial-odometry
- msckf
- localization
- ekf-mono-slam
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".