Simultaneous Localization And Mapping
Showing 5 of 5 projects
A curated list of papers, software, and resources for 3D reconstruction from images, covering SLAM, SfM, and MVS.
A hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras with modern features, loop closure, and dense reconstruction.
A versatile visual SLAM framework for monocular, stereo, and RGB-D cameras with map storage and reuse capabilities.
An open research-oriented C++ framework for multi-session and multi-robot visual-inertial mapping and localization.
A collection of high-performance GICP-based point cloud registration algorithms with multi-threaded and GPU-accelerated implementations.
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