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

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

Robotics with GPU computing

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

🚀 AirVO upgrades to AirSLAM 🚀

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

[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"

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 !!!)

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

A bunch of state estimation algorithms

This repository is C++ OpenCV implementation of Stereo Odometry

Efficient monocular visual odometry for ground vehicles on ARM processors

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018