Showing 21-40 of 93 projects
This repository tracks the latest advancements in Simultaneous Localization and Mapping (SLAM) research.
LSD-SLAM is a real-time monocular SLAM (Simultaneous Localization and Mapping) algorithm written in C++.
LeGO-LOAM: A lightweight and ground-optimized LiDAR odometry and mapping solution for variable terrain.
DROID-SLAM is a Python library for real-time 3D reconstruction from RGB-D cameras.
This open-source repository provides SLAM (Simultaneous Localization and Mapping) code for autonomous driving scenarios.
Direct Sparse Odometry (DSO) is a C++ library for visual-inertial odometry and SLAM.
A Morse code typing tool that simulates slamming a laptop shut
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.
A fast and robust C++ library for 3D point cloud registration, useful for robotics and SLAM applications.
This repository teaches the basics of robotics using ROS 2 and Gazebo simulation for hands-on experience.
A collection of notes, source code, and resources for learning about navigation algorithms and related open-source projects.
C++ implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
A CVPR'24 highlighted Python library for building Gaussian Splatting SLAM systems for robotics.
A curated list of awesome datasets for Simultaneous Localization and Mapping (SLAM) research and development.
Real-time dense visual SLAM system for 3D reconstruction using C++, CUDA, and SLAM techniques.
ROS packages for Turtlebot3, a robot platform for developers
A comprehensive list of papers, code, and resources related to NeRF and 3D Gaussian Splatting for SLAM/Robotics applications.
This is a collection of 14 lectures on visual SLAM, focusing on the English version.
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