Stars
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Any-Feature V-SLAM is an automated visual SLAM library for Monocular cameras capable of switching to a chosen type of feature effortlessly and without manual intervention.
Pure Numpy Implementation of the Coherent Point Drift Algorithm
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
The Kalibr visual-inertial calibration toolbox
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
ROS compatible tool to generate Allan Deviation plots
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
This repo is modified based on lvi-sam and liorf, which remove the feature extraction module and makes it easier to adapt different sensor.
A simple location system based on a priori map, which is based on the lio-sam framework
This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
A ROS node of 3D-LiDAR-based Monte Carlo localization
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Python package for the evaluation of odometry and SLAM