Visual Odometry
Showing 14 of 14 projects
An accurate open-source library for visual, visual-inertial, and multi-map SLAM supporting monocular, stereo, and RGB-D cameras.
A curated list of papers, software, and resources for 3D reconstruction from images, covering SLAM, SfM, and MVS.
A versatile visual SLAM framework for monocular, stereo, and RGB-D cameras with map storage and reuse capabilities.
A real-time monocular SLAM system that creates large-scale semi-dense maps using a fully direct approach without feature extraction.
A direct sparse odometry library for real-time monocular visual SLAM, estimating camera motion from image sequences.
A fast semi-direct monocular visual odometry pipeline for robotics and computer vision applications.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
A Python toolbox for quantitative evaluation of visual(-inertial) odometry trajectories using alignment methods and error metrics.
A CUDA-accelerated library for rapid 3D data processing in robotics, enabling GPU-powered SLAM, collision avoidance, and path planning.
A dense visual odometry and SLAM system for RGB-D cameras that estimates camera motion from consecutive depth images.
A real-time visual odometry pipeline using stereo event-based cameras, leveraging Time Surfaces for direct geometric mapping and tracking.
A GPU-accelerated C++ library for visual-inertial odometry frontend tasks, optimized for high-speed robotics.
A curated list of top-tier publications and resources for LiDAR-Visual fusion SLAM systems.
A ROS wrapper for libviso2, enabling visual odometry for monocular and omnidirectional camera systems in robotics.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.