Showing 1-20 of 39 projects
Open3D is a modern C++ library for 3D data processing, including reconstruction, registration, and visualization.
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.
Python/C++ Visual SLAM pipeline for 3D reconstruction
OpenVSLAM is a versatile visual SLAM framework for computer vision and robotics applications.
An open-source visual-inertial navigation research platform for robotics and SLAM applications.
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.
Direct Sparse Odometry (DSO) is a C++ library for visual-inertial odometry and SLAM.
A curated list of open-source vision-based SLAM and Visual Odometry projects, blogs, and research papers for developers working on computer vision and robotics.
Advanced implementation of the LOAM (Lidar Odometry and Mapping) algorithm for lidar-based SLAM.
A robust, real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state estimation and mapping package for 3D mapping and reconstruction.
This repository teaches the basics of robotics using ROS 2 and Gazebo simulation for hands-on experience.
A C++ library for semi-direct visual odometry, a technique for estimating camera motion from image data.
Robust Stereo Visual Inertial Odometry for fast autonomous flight using ROS
A C++ library for visual-inertial odometry and simultaneous localization and mapping (SLAM) with 3D mesh generation.
A C++ library for tightly-coupled lidar-visual-inertial odometry and mapping, useful for robotics and autonomous systems development.
A C++ library for real-time state estimation and mapping using a 3D lidar sensor.
A tutorial for 3D vision tasks like reconstruction, SLAM, and camera calibration using OpenCV.
A roadmap to become a Visual SLAM (Simultaneous Localization and Mapping) developer in 2023.
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