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

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

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

ROS 2 wrapper for the ZED SDK

Depth and Flow for Visual Odometry

Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

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 !!!)

A bunch of state estimation algorithms

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 …

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

This repository is C++ OpenCV implementation of Stereo Odometry

Efficient monocular visual odometry for ground vehicles on ARM processors

An Illumination-Robust Point-Line Visual Odometry (IROS 2023)

[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"