Print Email Facebook Twitter Towards an ontology for scenario definition for the assessment of automated vehicles Title Towards an ontology for scenario definition for the assessment of automated vehicles: An object-oriented framework Author de Gelder, E. Paardekooper, J.P. Saberi, A.K. Elrofai, H. op den Camp, O.M.G.C. Kraines, S. Ploeg, J. de Schutter, B. Publication year 2022 Abstract The development of new assessment methods for the performance of automated vehicles is essential to enable the deployment of automated driving technologies, due to the complex operational domain of automated vehicles. One contributing method is scenario-based assessment in which test cases are derived from real-world road traffic scenarios obtained from driving data. Given the complexity of the reality that is being modeled in these scenarios, it is a challenge to define a structure for capturing these scenarios. An intensional definition that provides a set of characteristics that are deemed to be both necessary and sufficient to qualify as a scenario assures that the scenarios constructed are both complete and intercomparable. In this article, we develop a comprehensive and operable definition of the notion of scenario while considering existing definitions in the literature. This is achieved by proposing an object-oriented framework in which scenarios and their building blocks are defined as classes of objects having attributes, methods, and relationships with other objects. The object-oriented approach promotes clarity, modularity, reusability, and encapsulation of the objects. We provide definitions and justifications of each of the terms. Furthermore, the framework is used to translate the terms in a coding language that is publicly available. Subject Object oriented modelingVehicle dynamicsEncodingOntologiesMathematical modelsSafetyIntelligent vehicles To reference this document use: http://resolver.tudelft.nl/uuid:8e952d5f-ebd4-4210-b3b3-a1d3ca94d823 DOI https://doi.org/10.1109/tiv.2022.3144803 TNO identifier 963411 Publisher IEEE ISSN 2379-8858 Source IEEE Transactions on Intelligent Vehicles Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.