[2403.06680] Identifikation auslösender Umstände von SOTIF-Gefährdungen durch systemtheoretische Prozessanalyse
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Electrical Engineering and Systems Science > Systems and Control

arXiv:2403.06680 (eess)
[Submitted on 11 Mar 2024]

Title:Identifikation auslösender Umstände von SOTIF-Gefährdungen durch systemtheoretische Prozessanalyse

Authors:Robert Graubohm, Marvin Loba, Marcus Nolte, Markus Maurer
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Abstract:Developers have to obtain a sound understanding of existing risk potentials already in the concept phase of driverless vehicles. Deductive as well as inductive SOTIF analyses of potential triggering conditions for hazardous behavior help to achieve this goal. In this regard, ISO 21448 suggests conducting a System-Theoretic Process Analysis (STPA). In this article, we introduce German terminology for SOTIF considerations and critically discuss STPA theory in the course of an example application, while also proposing methodological additions. -- --
Um bereits in der Konzeptphase autonomer Fahrzeuge einen fundierten Eindruck bestehender Risikopotenziale zu erhalten, werden im Zuge von deduktiven und induktiven SOTIF-Analysen mögliche auslösende Umstände für gefährliches Verhalten untersucht. In diesem Zusammenhang wird in der ISO 21448 die Durchführung einer systemtheoretischen Prozessanalyse (STPA) vorgeschlagen. In diesem Beitrag führen wir deutsche Terminologie für SOTIF-Betrachtungen ein und setzen uns im Zuge einer Anwendung kritisch mit der STPA-Theorie auseinander, wobei wir begleitend methodische Ergänzungen anregen.
Comments: The final publication is available at this http URL, published in at - Automatisierungstechnik, in German
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:2403.06680 [eess.SY]
  (or arXiv:2403.06680v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2403.06680
Journal reference: at - Automatisierungstechnik, vol. 71, no. 3, 2023, pp. 209-218
Related DOI: https://doi.org/10.1515/auto-2022-0164

Submission history

From: Robert Graubohm [view email]
[v1] Mon, 11 Mar 2024 12:55:08 UTC (6,023 KB)
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