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263 public repositories
matching this topic...
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.
👁 openvslam
OpenVSLAM: A Versatile Visual SLAM Framework
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
An Invitation to 3D Vision: A Tutorial for Everyone
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
[TRO 2025] AirVO upgrades to AirSLAM
👁 cupoch
Robotics with GPU computing
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
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.
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Depth and Flow for Visual Odometry
A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course demo, not for real world applications !!!)
[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"
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
ROS 2 wrapper for the ZED SDK
👁 TinyGrapeKit
A bunch of state estimation algorithms
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
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