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KI-basiertes Virtuelles Testen von Sicherheitskritischen Fahrfunktionen in Kombination mit Realtests

In: Transforming Mobility – What Next?

Author

Listed:
  • Marius Kütemeyer

    (Forschungsinstitut für Kraftfahrwesen und Fahrzeugmotoren Stuttgart – FKFS)

  • Janis Lapins

    (Spicetech GmbH)

  • Alexander Thieß

    (Bergische Universität Wuppertal)

  • Kun Gao

    (Forschungsinstitut für Kraftfahrwesen und Fahrzeugmotoren Stuttgart – FKFS)

  • Thomas Riemer

    (Forschungsinstitut für Kraftfahrwesen und Fahrzeugmotoren Stuttgart – FKFS)

  • Samuel Hekeler

    (Emm! Solutions GmbH)

  • Hans-Christian Reuss

    (Forschungsinstitut für Kraftfahrwesen und Fahrzeugmotoren Stuttgart – FKFS)

Abstract

Zusammenfassung Welche Konstellationen von äußeren Einflussfaktoren wie Helligkeit, Gegenlicht, Reflexionen, Unschärfe etc. resultieren in sicherheitskritischen Situationen für das autonome Fahrzeug, Insassen und andere Verkehrsteilnehmer? Stellt dies wirklich das sicherheitsrelevanteste Szenario dar? Wie groß ist die Wahrscheinlichkeit bzw. Restunsicherheit, dass doch ein relevantes Szenario nicht betrachtet wurde? Um diese Fragen zu beantworten sind derzeit deterministische Vorgehensweisen in Anwendung, mit abdeckenden Parameterkombinationen.

Suggested Citation

  • Marius Kütemeyer & Janis Lapins & Alexander Thieß & Kun Gao & Thomas Riemer & Samuel Hekeler & Hans-Christian Reuss, 2022. "KI-basiertes Virtuelles Testen von Sicherheitskritischen Fahrfunktionen in Kombination mit Realtests," Springer Books, in: Heike Proff (ed.), Transforming Mobility – What Next?, chapter 0, pages 671-686, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-36430-4_39
    DOI: 10.1007/978-3-658-36430-4_39
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