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.

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