An Ontology-based Approach to Generate the Advanced Driver Assistance Use Cases of Highway Traffic

Wei Chen, Leïla Kloul

2018

Abstract

Autonomous vehicles perceive the environment with different kinds of sensors (camera, radar, lidar...). They must evolve in an unpredictable environment and a wide context of dynamic execution, with strong interactions. In order to generate the safety of the autonomous vehicle, its occupants and the others road users, it is necessary to validate the decisions of the algorithms for all the situations that will be met. These situations are described and generated as different use cases of automated vehicles. In this work, we propose an approach to generate automatically use cases of autonomous vehicle for highway. This approach is based on a three layers hierarchy, which exploits static and mobile concepts we have defined in the context of three ontologies: highway, weather and vehicle. The highway ontology and the weather ontology conceptualize the environment in which evolves the autonomous vehicle, and the vehicle ontology consists of the vehicle devices and the control actions. To apply our approach, we consider a running example about the insertion of a vehicle by the right entrance lane of a highway.

Paper Citation

in Harvard Style

Chen W. and Kloul L. (2018). An Ontology-based Approach to Generate the Advanced Driver Assistance Use Cases of Highway Traffic. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 75-83. DOI: 10.5220/0006931700750083

in Bibtex Style

@conference{keod18,
author={Wei Chen and Leïla Kloul},
title={An Ontology-based Approach to Generate the Advanced Driver Assistance Use Cases of Highway Traffic},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={75-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006931700750083},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - An Ontology-based Approach to Generate the Advanced Driver Assistance Use Cases of Highway Traffic
SN - 978-989-758-330-8
AU - Chen W.
AU - Kloul L.
PY - 2018
SP - 75
EP - 83
DO - 10.5220/0006931700750083
PB - SciTePress