Traded Control Architecture for Automated Vehicles Enabled by the Scene Complexity Estimation
Juan Medina-Lee, Jorge Villagra, Antonio Artuñedo
2020
Abstract
A number of urban driving situations are still today too challenging to be handled by an autonomous driving system (ADS), and an intervention from humans inside the vehicle may be necessary. In this work, a novel traded control architecture is proposed to enhance the operational domain of the ADS under the premise that vehicles and humans may need to adapt their cooperation level depending on the context. To that end, a complexity level will be defined and computed in real time for each driving scene, and the role of the ADS and the human operator will be defined accordingly. With this information in hand, the system will alert the human operator when the involvement level will be lower than required or when a complex scene is detected.
DownloadPaper Citation
in Harvard Style
Medina-Lee J., Villagra J. and Artuñedo A. (2020). Traded Control Architecture for Automated Vehicles Enabled by the Scene Complexity Estimation.In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: SUaaVE, ISBN 978-989-758-480-0, pages 255-261. DOI: 10.5220/0010183702550261
in Bibtex Style
@conference{suaave20,
author={Juan Medina-Lee and Jorge Villagra and Antonio Artuñedo},
title={Traded Control Architecture for Automated Vehicles Enabled by the Scene Complexity Estimation},
booktitle={Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: SUaaVE,},
year={2020},
pages={255-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010183702550261},
isbn={978-989-758-480-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: SUaaVE,
TI - Traded Control Architecture for Automated Vehicles Enabled by the Scene Complexity Estimation
SN - 978-989-758-480-0
AU - Medina-Lee J.
AU - Villagra J.
AU - Artuñedo A.
PY - 2020
SP - 255
EP - 261
DO - 10.5220/0010183702550261