• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Assurance Methodology for In-vehicle AI
 
  • Details
  • Full
Options
July 8, 2022
Journal Article
Title

Assurance Methodology for In-vehicle AI

Abstract
The application of AI is a key enabler for highly automated driving. Initiated by VDA, a consortium of OEMs, suppliers, technology providers and scientific institutions is developing a methodology for a novel safety argumentation in the project “KI Absicherung” (safe AI) that systematically identifies insufficiencies of AI-based functions, makes them measurable and mitigates them. The project stems from the “VDA-Leitinitiative” (flagship initiative). An industrial consensus for a methodical approach is to be achieved which is demonstrated using the example of pedestrian detection.
Author(s)
Blank, Frédérik
Robert Bosch GmbH, Abstatt
Hüger, Fabian
Cariad SE, Wolfsburg
Mock, Michael  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Stauner, Thomas
BMW Group, München
Journal
ATZ worldwide  
Project(s)
KI Absicherung
Funder
Bundesministerium für Wirtschaft und Klimaschutz
DOI
10.1007/s38311-022-0832-9
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024