Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing

Júlia Škovierová, Antonín Vobecký, Miroslav Uller, Radoslav Škoviera, Václav Hlaváč

2018

Abstract

The reported work contributes to the self-driving car efforts, more specifically to scenario understanding from the ego-car point of view. We focus on estimating the intentions of pedestrians near a zebra crossing. First, we predict the future motion of detected pedestrians in a three seconds time horizon. Second, we estimate the intention of each pedestrian to cross the street using a Bayesian network. Results indicate, that the dependence between the error rate of motion prediction and the intention estimation is sub-linear. Thus, despite the lower performance of motion prediction for the time scope larger than one second, the intention estimation remains relatively stable.

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Paper Citation


in Harvard Style

Škovierová J., Vobecký A., Uller M., Škoviera R. and Hlaváč V. (2018). Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 341-348. DOI: 10.5220/0006694403410348


in Bibtex Style

@conference{vehits18,
author={Júlia Škovierová and Antonín Vobecký and Miroslav Uller and Radoslav Škoviera and Václav Hlaváč},
title={Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={341-348},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006694403410348},
isbn={978-989-758-293-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing
SN - 978-989-758-293-6
AU - Škovierová J.
AU - Vobecký A.
AU - Uller M.
AU - Škoviera R.
AU - Hlaváč V.
PY - 2018
SP - 341
EP - 348
DO - 10.5220/0006694403410348