Simultaneous Estimation of Driving Intentions for Multiple Vehicles Using Video Transformer

Junya Isogawa, Fumihiko Sakaue, Jun Sato

2025

Abstract

In autonomous driving, it is important for the vehicle to appropriately determine the next action to be taken on the road. In complex situations such as on public roads, the better action for the own vehicle can be determined by considering the driving intention of other vehicles around the vehicle. Thus, in this paper, we propose a method to determine the next action of the own vehicle by simultaneously estimating the next driving intentions of all vehicles, including other vehicles around the own vehicle. The time series of vehicle motions on the road can be represented as sequential images centered on the vehicle. In this paper, we analyze the sequential images of vehicle trajectories using the Video Transformer and simultaneously predict the driving intentions of all vehicles on the road. In general, driving intentions change over time. Thus, in this research, we first propose a method to predict the next intention, and then extend it to predict the transition of driving intentions over the next few seconds. We also apply our method to predict driving trajectories, and show that the prediction of the driving trajectory can be improved by using the driving intentions estimated from the proposed method.

Paper Citation

in Harvard Style

Isogawa J., Sakaue F. and Sato J. (2025). Simultaneous Estimation of Driving Intentions for Multiple Vehicles Using Video Transformer. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 471-477. DOI: 10.5220/0013232100003912

in Bibtex Style

@conference{visapp25,
author={Junya Isogawa and Fumihiko Sakaue and Jun Sato},
title={Simultaneous Estimation of Driving Intentions for Multiple Vehicles Using Video Transformer},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2025},
pages={471-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013232100003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Simultaneous Estimation of Driving Intentions for Multiple Vehicles Using Video Transformer
SN - 978-989-758-728-3
AU - Isogawa J.
AU - Sakaue F.
AU - Sato J.
PY - 2025
SP - 471
EP - 477
DO - 10.5220/0013232100003912
PB - SciTePress