Showing 81-93 of 93 projects
A multi-modal and multi-scenario dataset for ground robots research and SLAM applications.
A comprehensive collection of SLAM (Simultaneous Localization and Mapping) applications and comparisons for robotics and lidar-based navigation.
A tightly coupled GNSS-Visual-Inertial system for smooth and consistent state estimation in complex environments.
A fast and robust feature matching library for computer vision tasks like SfM and SLAM.
The spatial perception framework for rapidly building smart robots and spaces
A book on SLAM (Simultaneous Localization and Mapping) that covers geometric methods and deep learning approaches.
Robust and accurate IMU + X sensor fusion localization for robot navigation and VIO applications.
A curated list of SLAM (Simultaneous Localization and Mapping) resources for developers working in computer vision and robotics.
An open-source SLAM (Simultaneous Localization and Mapping) library for 3D LiDAR odometry and mapping.
A general SLAM framework supporting different sensors and methods for 3D reconstruction and localization.
A collection of papers and code related to 3D computer vision, including SLAM, localization, and more.
This GitHub repository provides in-depth analysis and code explanations for state-of-the-art VIO (Visual-Inertial Odometry) research papers.
A lightweight and efficient LiDAR odometry solution for accurate localization and 3D mapping in robotics.
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