OpenVSLAM: A Versatile Visual SLAM Framework
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Updated
Feb 25, 2021
OpenVSLAM: A Versatile Visual SLAM Framework
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
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.
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
An Invitation to 3D Vision: A Tutorial for Everyone
ROS 2 wrapper for the ZED SDK
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
[TRO 2025] AirVO upgrades to AirSLAM
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Depth and Flow for 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.
Robotics with GPU computing
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 !!!)
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for …
A bunch of state estimation algorithms
Efficient monocular visual odometry for ground vehicles on ARM processors
[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"
This repository is C++ OpenCV implementation of Stereo Odometry
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