An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios

Barbara Schütt, Marc Heinrich, Sonja Marahrens, J. Zöllner, Eric Sax

2022

Abstract

Verification and validation are major challenges for developing automated driving systems. A concept that gets more and more recognized for testing in automated driving is scenario-based testing. However, it introduces the problem of what scenarios are relevant for testing and which are not. This work aims to find relevant, interesting, or critical parameter sets within logical scenarios by utilizing Bayes optimization and Gaussian processes. The parameter optimization is done by comparing and evaluating six different metrics in two urban intersection scenarios. Finally, a list of ideas this work leads to and should be investigated further is presented.

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Paper Citation


in Harvard Style

Schütt B., Heinrich M., Marahrens S., Zöllner J. and Sax E. (2022). An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-573-9, pages 338-345. DOI: 10.5220/0011064600003191


in Bibtex Style

@conference{vehits22,
author={Barbara Schütt and Marc Heinrich and Sonja Marahrens and J. Zöllner and Eric Sax},
title={An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2022},
pages={338-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011064600003191},
isbn={978-989-758-573-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios
SN - 978-989-758-573-9
AU - Schütt B.
AU - Heinrich M.
AU - Marahrens S.
AU - Zöllner J.
AU - Sax E.
PY - 2022
SP - 338
EP - 345
DO - 10.5220/0011064600003191