Showing 21-39 of 39 projects
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR developers working with sensor fusion and robotics.
This is a C++ library for Simultaneous Localization and Mapping (SLAM) using Stereo Visual-Inertial Odometry (SVO).
A fast and tightly-coupled LiDAR-Inertial-Visual Odometry (LIVO) system for 3D reconstruction and sensor fusion.
Lightweight, tightly coupled lidar-inertial odometry using parallel sparse incremental voxels.
A robust, real-time LiDAR-inertial initialization method for robotics and SLAM applications.
Visual SLAM/odometry package for NVIDIA-accelerated cuVSLAM
CamOdoCal is a C++ library for automatic calibration of multi-camera rigs with odometry sensors.
This C++ library is for visual-inertial odometry (VIO) and state estimation for robotic applications.
A toolbox for quantitative trajectory evaluation of visual odometry and visual-inertial odometry algorithms.
A C++ implementation of a visual-inertial odometry algorithm for robotic navigation.
A fast and optimized LIDAR-based localization and mapping library for indoor/outdoor robotics applications.
AirSLAM is a C++ library for real-time SLAM (Simultaneous Localization and Mapping) using visual-inertial odometry and 3D reconstruction.
Point-LIO is a C++ library for robust and accurate LiDAR-Inertial Odometry, a key technology for autonomous navigation.
A comprehensive collection of SLAM (Simultaneous Localization and Mapping) applications and comparisons for robotics and lidar-based navigation.
Robust and accurate IMU + X sensor fusion localization for robot navigation and VIO applications.
An open-source SLAM (Simultaneous Localization and Mapping) library for 3D LiDAR odometry and mapping.
Robotics platform with GPU-accelerated collision detection, point cloud processing, and more.
This GitHub repository provides in-depth analysis and code explanations for state-of-the-art VIO (Visual-Inertial Odometry) research papers.
A lightweight and efficient LiDAR odometry solution for accurate localization and 3D mapping in robotics.
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