Vehicle-to-Everything (V2X) in Scenarios: Extending Scenario Description Language for Connected Vehicle Scenario Descriptions

Irvine, Patrick; Baker, Peter B.; Mo, Yuen Kwan; Costa, Antonio Anastasio Bruto da; Zhang, Xizhe; Khastgir, Siddartha; Jennings, Paul

doi:10.1109/iv51971.2022.9827272

Cited by 5 publications

(7 citation statements)

References 23 publications

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“…Recent endeavors have introduced a structured natural language framework for rules of the road, thus facilitating their expression [27]. The study emphasizes the significance of adopting a consistent and structured approach to expressing rules of the road, underlining the importance of well-defined rules.…”

Section: Related Workmentioning

confidence: 99%

“…Employing a consistent language to express road regulations (as exemplified in Ref. [27]) expedites their translation into an appropriate formal logical structure. This, in turn, enhances the process delineated in this article.…”

Section: Related Workmentioning

confidence: 99%

“…These terms necessitate clear, objective definitions. Recent efforts propose a structured natural language framework [27] that could rectify this, fostering more consistent handling of such rules for improved ADS understanding.…”

Section: Formalising Rules Of the Roadmentioning

confidence: 99%

“…Rule codification entails the transformation of regulations into a formal framework such as the one proposed in Ref [27], ensuring consistency in description suitable for adoption by regulatory bodies and vehicle manufacturers. This endeavor encompasses the identification of all regulations pertinent to ADS, subsequently subjecting them to the codification process.…”

Section: A Rules Of the Road Designed For Adsmentioning

confidence: 99%

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Ontology-based Scenario Generation for Automated Driving Systems Verification and Validation using Rules of the Road

da Costa,

Irvine,

Zhang

et al. 2024

IEEE Trans. Intell. Veh.

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The verification and validation (V&V) process for Automated Driving Systems (ADS) has undergone a significant transformation in defining the meaning of safety. Initially rooted in the quantity of miles driven, it has now shifted towards emphasizing the quality of test miles. These test miles must effectively capture the full spectrum of behaviours and operational design domains (ODD) of the ADS. To assess an ADS's compliance with specific rules or requirements, a connection must be established between the rules and the scenarios used for testing. In this paper, we propose a targeted scenario generation methodology aimed at testing ADS against formal rules. Our approach leverages ontologies to represent objects and their relationships in a scenario. The rules, are first formally specified, expressed as horn clauses. We then employ a rule transformation process, along with off-the-shelf reasoning tools, to generate corresponding scenarios. These generated scenarios may then utilized to test the ADS's adherence to the specified rules. To illustrate the effectiveness of our methodology, we present an application to example rules derived from both the UK Highway Code and the Vienna Conventions. By utilizing our approach, we enhance the precision and rigor of the verification and validation flow for ADS, ensuring improved safety measures during operation.Index Terms-scenario, scenario generation, ontologies, rules of the road, verification and validation, automated driving systems. 1) Methodology forFormalising Rules of the Road: We propose a comprehensive methodology for formalising rules of the road. To illustrate the practical application of this methodology, we utilise examples from the United Kingdom (UK) Highway Code [16] and the Vienna Convention [17]. Through these examples, we discussCopyright IEEE

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Formalising Rules Of the Roadmentioning

confidence: 99%

Section: A Rules Of the Road Designed For Adsmentioning

confidence: 99%

See 2 more Smart Citations

Ontology-based Scenario Generation for Automated Driving Systems Verification and Validation using Rules of the Road

da Costa,

Irvine,

Zhang

et al. 2024

IEEE Trans. Intell. Veh.

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“…Although various scenario description formats exist, the consideration of connectivity within the languages is still limited. At the time of writing, only [15] has embedded the connectivity aspects within the usual driving scenario context. The connectivity features were divided into the road structure aspect within the scenery description (e.g., a communication box), the dynamic aspect (e.g., casting certain messages), and the environmental condition aspect (e.g., the overall coverage of the connectivity).…”

Section: B Scenariomentioning

confidence: 99%

A Novel Scenario-Based Testing Approach for Cooperative-Automated Driving Systems

Zhang,

Mo,

Chodowiec

et al. 2023

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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A novel CDCS framework for the connected car system

Sundaresan,

Chandrapragasam,

Rajaganesh

2024

Int. j. inf. tecnol.

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Vehicle-to-Everything (V2X) in Scenarios: Extending Scenario Description Language for Connected Vehicle Scenario Descriptions

Abstract: How to cite:Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 5 publications

References 23 publications

Ontology-based Scenario Generation for Automated Driving Systems Verification and Validation using Rules of the Road

Ontology-based Scenario Generation for Automated Driving Systems Verification and Validation using Rules of the Road

A Novel Scenario-Based Testing Approach for Cooperative-Automated Driving Systems

A novel CDCS framework for the connected car system

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