arXiv:2502.11955
공식 코드 · Papers with Code
pySLAM: An Open-Source, Modular, and Extensible Framework for SLAM
원문 초록
pySLAM is an open-source Python framework for Visual SLAM, supporting monocular, stereo, and RGB-D cameras. It provides a flexible interface for integrating both classical and modern local features, making it adaptable to various SLAM tasks. The framework includes different loop closure methods, a volumetric reconstruction pipeline, and support for depth prediction models. Additionally, it offers a suite of tools for visual odometry and SLAM applications. Designed for both beginners and experienced researchers, pySLAM encourages community contributions, fostering collaborative development in the field of Visual SLAM.
함께 살펴볼 논문
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MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT Navigation
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
MUSt3R: Multi-view Network for Stereo 3D Reconstruction
Challenges of Multi-Modal Coreset Selection for Depth Prediction
토론
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