Visual-Inertial Odometry (VIO) dataset

A dataset used for training a recurrent neural network (RNN) to infer positional uncertainties for a model predictive control (MPC) algorithm.

Data and Resources

Cite this as

Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis Hong (2024). Dataset: Visual-Inertial Odometry (VIO) dataset. https://doi.org/10.57702/bj3hkeji

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/IROS45743.2020.9341070
Author Alexander Schperberg
More Authors
Kenny Chen
Stephanie Tsuei
Michael Jewett
Joshua Hooks
Stefano Soatto
Ankur Mehta
Dennis Hong
Homepage https://github.com/ucla-vision/xivo