Showing 1-9 of 9 projects
LIO-SAM is a tightly-coupled lidar-inertial odometry and mapping system for robot navigation.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package for robotics and autonomous systems.
This repository tracks the latest advancements in Simultaneous Localization and Mapping (SLAM) research.
LeGO-LOAM: A lightweight and ground-optimized LiDAR odometry and mapping solution for variable terrain.
A robust, real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state estimation and mapping package for 3D mapping and reconstruction.
A C++ library for tightly-coupled lidar-visual-inertial odometry and mapping, useful for robotics and autonomous systems development.
A robust, real-time LiDAR-inertial initialization method for robotics and SLAM applications.
A comprehensive collection of SLAM (Simultaneous Localization and Mapping) applications and comparisons for robotics and lidar-based navigation.
A lightweight and efficient LiDAR odometry solution for accurate localization and 3D mapping in robotics.
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