Popular GitHub Repositories for Visual Odometry

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

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

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

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".

Code for T-ITS paper "Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry" and for ICRA paper "Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks".

[ECCV 2022]JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes

Visual odometry using optical flow and neural networks

StereoVision-SLAM is a real-time visual stereo SLAM (Simultaneous Localization and Mapping)

We provide the code, pretrained models, and scripts to reproduce the experiments of the paper "Towards All-Weather Autonomous Driving". All code was implemented in Python using the deep learning framework PyTorch.

Notes and assignements of Self-Driving Cars Specialization from the University of Toronto on Coursera.

Neural Ego-motion Estimator from Multi-view RGB Synthesis

A C++ implementation of Visual Odometry (VO) for the KITTI dataset, with features extracted and matched by deep learning

Deep based Visual SLAM Project(Depth estimation, Optical flow, Visual inertial odometry)

[SCIA 2023] Pose Constraints for Self-supervised Monocular Depth and Ego-Motion

Synthetic Dataset for Visual Odometry algorithm testing. Navigation tasks of autonomous systems and ground robots.

? Enhanced Adversarial Patch: Extends adversarial attacks on TartanVO model with a new loss function, rotation attack, and momentum optimizer