Visual Odometry Collection

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🔮Psychic

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“pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.”

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“OpenVSLAM: A Versatile Visual SLAM Framework”

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“An unsupervised learning framework for depth and ego-motion estimation from monocular videos”

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🔥Fire

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“LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping”

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“An Invitation to 3D Vision: A Tutorial for Everyone”

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🔥Fire

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“Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM”

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🔥Fire

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“[TRO 2025] AirVO upgrades to AirSLAM”

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🔥Fire

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“Robotics with GPU computing”

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🔥Fire

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“[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo”

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🔮Psychic

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“[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry”

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“A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.”

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🔮Psychic

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“Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)”

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🔮Psychic

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“Depth and Flow for Visual Odometry”

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🔥Fire

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“Educational/research monocular visual odometry implementation with ORB features, initialization, tracking, local mapping, and bundle adjustment in C++.”

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🔥Fire

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“[ICRA'23] The official Implementation of "Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras"”

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🔮Psychic

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“Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction”

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🔥Fire

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“ROS 2 wrapper for the ZED SDK”