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LIO-SAM is a tightly-coupled lidar-inertial odometry and mapping system for robot navigation.
This repository tracks the latest advancements in Simultaneous Localization and Mapping (SLAM) research.
A robust, real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state estimation and mapping package for 3D mapping and reconstruction.
A comprehensive list of papers, code, and resources related to NeRF and 3D Gaussian Splatting for SLAM/Robotics applications.
A lightweight and efficient LiDAR odometry solution for accurate localization and 3D mapping in robotics.
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