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Is Scenario Generation Ready for SOTIF? A Systematic Literature Review

Birkemeyer, Lukas 1; King, Christian ORCID iD icon 2; Schaefer, Ina ORCID iD icon 3
1 Technische Universität Braunschweig (TU Braunschweig)
2 FZI Forschungszentrum Informatik (FZI)
3 Karlsruher Institut für Technologie (KIT)

Abstract:

Scenario-based testing is considered state-of-the-art to verify and validate Advanced Driver Assistance Systems or Automated Driving Systems. Due to the official launch of the SOTIF-standard (ISO 21448), scenario-based testing becomes more and more relevant for releasing those Highly Automated Driving Systems. However, an essential missing detail prevent the practical application of the SOTIF-standard: How to practically generate scenarios for scenario-based testing? In this paper, we perform a Systematic Literature Review to identify techniques that generate scenarios complying with requirements of the SOTIF-standard. We classify existing scenario generation techniques and evaluate the characteristics of generated scenarios wrt. SOTIF requirements. We investigate which details of the real-world are covered by generated scenarios, whether scenarios are specific for a system under test or generic, and whether scenarios are designed to minimize the set of unknown and hazardous scenarios. We conclude that scenarios generated with existing techniques do not comply with requirements implied by the SOTIF-standard; hence, we propose directions for future research.


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Originalveröffentlichung
DOI: 10.1109/ITSC57777.2023.10422664
Scopus
Zitationen: 1
Dimensions
Zitationen: 4
Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 24.09.2023
Sprache Englisch
Identifikator ISBN: 979-83-503-9946-2
KITopen-ID: 1000173487
HGF-Programm 46.23.03 (POF IV, LK 01) Engineering Security for Mobility Systems
Erschienen in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Veranstaltung 26th International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao, Spanien, 24.09.2023 – 28.09.2023
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 472–479
Projektinformation SofDCar (BMWK, 19S21002K)
Vorab online veröffentlicht am 08.08.2023
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Nachgewiesen in Scopus
arXiv
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