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An Authentic Dataset for Visual-Inertial Odometry
Deep Learning for Visual-Inertial Odometry
This contains the code(in development) for monocular visual odometry of a quadrotor. The visual data from the monocular camera is fused with onboard IMU to develop indoor control and navigation algorithms.
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
This repository is a version of VINS-Fusion with gpu acceleration. It can run on the Nvidia TX2 in realtime
ROS2 version of VINS-Fusion
Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022
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