Passenger’s Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces

Yosuke Isono, Hiroshi Yoshitake, Motoki Shino

2022

Abstract

The development of autonomous navigation systems for personal mobility vehicles is underway to support mobility in large-scale facilities such as airports and shopping malls where pedestrians coexist. One of the required functions of autonomous navigation is comfort, such as not causing anxiety to the passengers. The purpose of this study is to clarify the characteristics of passenger’s comfort recognition, that is, how the passenger feels comfortable depending on the behavior of the surrounding pedestrians and the vehicle when the personal mobility vehicle moves autonomously in a crowded environment. An experiment was conducted to obtain subjective assessment of passenger comfort using a VR simulator. By focusing on situation awareness as a process affecting passenger’s comfort recognition, the influence of situation awareness on passenger’s comfort recognition was analyzed and the characteristics of passenger’s comfort recognition were discussed.

Paper Citation

in Harvard Style

Isono Y., Yoshitake H. and Shino M. (2022). Passenger’s Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP; ISBN 978-989-758-555-5, SciTePress, pages 58-67. DOI: 10.5220/0010849700003124

in Bibtex Style

@conference{hucapp22,
author={Yosuke Isono and Hiroshi Yoshitake and Motoki Shino},
title={Passenger’s Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP},
year={2022},
pages={58-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010849700003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP
TI - Passenger’s Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces
SN - 978-989-758-555-5
AU - Isono Y.
AU - Yoshitake H.
AU - Shino M.
PY - 2022
SP - 58
EP - 67
DO - 10.5220/0010849700003124
PB - SciTePress