Enhancing Scenario-based Testing for Automated Driving Systems: An Ontology-Based Scenario Modeling Framework

Zhenguo Cui, Zhenguo Cui, Svetlana Dicheva, Adam Abdin, Bernard Yannou, Jean-Marc Giroux

2025

Abstract

Scenario-based Testing (SbT) emerges as a pivotal approach for validating the safe behaviors of Automated Driving (AD) and Advanced Driver-Assistance Systems (ADAS). Using virtual simulation, SbT allows for generating and running massive testing cases. This approach gathers typical driving situations and critical edge cases. Properly modeling representative scenarios is a primary challenge. A scenario model needs to account for complex components, such as roads, infrastructure, road users, and their behaviors and interactions. Ontology-based frameworks are proposed to model scenarios in a detailed manner. However, some limitations exist, such as (i) expressing dynamic behaviors, (ii) the capacity in complex scenario modeling to achieve more realistic simulation; and (iii) ensuring comprehensive ontology coverage and plausibility. This paper proposes an ontology framework addressing these shortcomings. A comparative evaluation is conducted using the developed quantitative metrics to assess the ontology framework against two other industrial ontologies.

Paper Citation

in Harvard Style

Cui Z., Dicheva S., Abdin A., Yannou B. and Giroux J. (2025). Enhancing Scenario-based Testing for Automated Driving Systems: An Ontology-Based Scenario Modeling Framework. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 622-630. DOI: 10.5220/0013438800003941

in Bibtex Style

@conference{vehits25,
author={Zhenguo Cui and Svetlana Dicheva and Adam Abdin and Bernard Yannou and Jean-Marc Giroux},
title={Enhancing Scenario-based Testing for Automated Driving Systems: An Ontology-Based Scenario Modeling Framework},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={622-630},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013438800003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Enhancing Scenario-based Testing for Automated Driving Systems: An Ontology-Based Scenario Modeling Framework
SN - 978-989-758-745-0
AU - Cui Z.
AU - Dicheva S.
AU - Abdin A.
AU - Yannou B.
AU - Giroux J.
PY - 2025
SP - 622
EP - 630
DO - 10.5220/0013438800003941
PB - SciTePress