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

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".

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

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

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

Visual odometry using optical flow and neural networks

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