TY - JOUR
T1 - Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles
T2 - An Object-Oriented Framework
AU - De Gelder, Erwin
AU - Paardekooper, Jan Pieter
AU - Khabbaz Saberi, Arash
AU - Elrofai, Hala
AU - Camp, Olaf op den
AU - Kraines, Steven
AU - Ploeg, Jeroen
AU - De Schutter, Bart
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Encoding
KW - Mathematical models
KW - Object oriented modeling
KW - Ontologies
KW - Roads
KW - Safety
KW - Vehicle dynamics
UR - http://www.scopus.com/inward/record.url?scp=85123354996&partnerID=8YFLogxK
U2 - 10.1109/TIV.2022.3142422
DO - 10.1109/TIV.2022.3142422
M3 - Article
AN - SCOPUS:85123354996
SN - 2379-8858
JO - IEEE Transactions on Intelligent Vehicles
JF - IEEE Transactions on Intelligent Vehicles
ER -