VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments

By /
by Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi
Reference:
Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi:VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments, IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 1343-1350, 2021.
Bibtex Entry:
@article{minodaVIODESimulatedDataset2021,
title = {VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments},
author = {Koji Minoda and Fabian Schilling and Valentin Wüest and Dario Floreano and Takehisa Yairi},
labauthor = {Koji Minoda and Takehisa Yairi},
doi = {10.1109/LRA.2021.3058073},
year  = {2021},
date = {2021-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {6},
number = {2},
pages = {1343-1350},
}