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Conference object . 2024
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Article . 2024
License: CC BY
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Article . 2024
License: CC BY
Data sources: Datacite
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Conference object . 2024 . Peer-reviewed
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Formal Specification of Traffic Scenarios in Scenario-based Testing of Maritime Assistance Systems

Authors: Austel, Anna; Steidel, Matthias; Westphal, Bernd;

Formal Specification of Traffic Scenarios in Scenario-based Testing of Maritime Assistance Systems

Abstract

With the advent of assistance systems that classify into the four degrees of IMO maritime autonomous surface ships comes the challenge how to verify and certify such systems, which, in many cases, rely on AI-components for perception or recommendations. One approach to verification and validation of such systems proposes to define test cases as traffic scenarios, i.e., evolutions over time of traffic situations. A necessary prerequisite to apply scenario-based approaches is the correct conduction of specified tests. Especially in physical tests, to ensure correct conduction, the specification has to be communicated clearly to the person conducting the test and the executed test has to be checked against the specification. An appropriate (intuitive and formal) specification of the scenarios to be recreated in testing can provide these clear instructions and an objective criterion to assess correct test conduction. In this work, we report from a case-study with a graphical scenario specification formalism (as originally defined for the automotive domain and recently extended for maritime scenarios) following the question whether we can formalise relevant situations and scenarios from real test campaigns using this formalism and see how understandable the results are for maritime practitioners not trained in formal methods. 

Country
Germany
Related Organizations
Keywords

Formal Specifications, Scenarios, Institut für Systems Engineering für zukünftige Mobilität, Testing, Autonomous Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green