OpenVSLAM: A Versatile Visual SLAM Framework

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

An Invitation to 3D Vision: A Tutorial for Everyone

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

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

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

Depth and Flow for Visual Odometry

This repository is C++ OpenCV implementation of Stereo Odometry

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

Robotics with GPU computing

MATLAB Implementation of Visual Odometry using SOFT algorithm

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.

A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (Hi, this project is not good enough to be used in real scene)

深度学习和三维视觉相关的论文

RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments

Efficient monocular visual odometry for ground vehicles on ARM processors

Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

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 visual marker localization and Ewok for trajectoy planning with collision avoidance.

Ros package for Edge Alignment with Ceres solver

Implementation of DeepVO (ICRA 2017)

Visual odometry using optical flow and neural networks

Deep Monocular Visual Odometry using PyTorch (Experimental)

Code for "Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry"

Training Deep SLAM on Single Frames https://arxiv.org/abs/1912.05405

Extend DSO to a stereo system by scale optimization

Deep Learning for Visual-Inertial Odometry

RGB-D Reconstruction Toolkit

A readable implementation of structure-from-motion