An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving
<|reference_start|>An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving: Vehicles in public traffic that are equipped with Automated Driving Systems are subject to a number of expectations: Among other aspects, their behavior should be safe, conforming to the rules of the road and provide mobility to their users. This poses challenges for the developers of such systems: Developers are responsible for specifying this behavior, for example, in terms of requirements at system design time. As we will discuss in the article, this specification always involves the need for assumptions and trade-offs. As a result, insufficiencies in such a behavior specification can occur that can potentially lead to unsafe system behavior. In order to support the identification of specification insufficiencies, requirements and respective assumptions need to be made explicit. In this article, we propose the Semantic Norm Behavior Analysis as an ontology-based approach to specify the behavior for an Automated Driving System equipped vehicle. We use ontologies to formally represent specified behavior for a targeted operational environment, and to establish traceability between specified behavior and the addressed stakeholder needs. Furthermore, we illustrate the application of the Semantic Norm Behavior Analysis in two example scenarios and evaluate our results.<|reference_end|>
@article{salem2024an,
    title={An Ontology-based Approach Towards Traceable Behavior Specifications in
  Automated Driving},
    author={Nayel Fabian Salem, Marcus Nolte, Veronica Haber, Till Menzel, Hans
  Steege, Robert Graubohm, Markus Maurer},
    journal={arXiv preprint arXiv:2409.06607},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.06607},
    primaryClass={cs.SE cs.AI cs.SY eess.SY}
}