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2021 | OriginalPaper | Chapter

An Integrated Approach to a Safety Argumentation for AI-Based Perception Functions in Automated Driving

Authors : Michael Mock, Stephan Scholz, Frédérik Blank, Fabian Hüger, Andreas Rohatschek, Loren Schwarz, Thomas Stauner

Published in: Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops

Publisher: Springer International Publishing

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Abstract

Developing a stringent safety argumentation for AI-based perception functions requires a complete methodology to systematically organize the complex interplay between specifications, data and training of AI-functions, safety measures and metrics, risk analysis, safety goals and safety requirements. The paper presents the overall approach of the German research project “KI-Absicherung” for developing a stringent safety-argumentation for AI-based perception functions. It is a risk-based approach in which an assurance case is constructed by an evidence-based safety argumentation.

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Footnotes
1
The research leading to these results is funded by the German Federal Ministry for Economic Affairs and Energy within the project “KI Absicherung – Safe AI for Automated Driving”. http://​www.​ki-absicherung-projekt.​de.
 
Literature
1.
go back to reference ISO 26262: Road vehicles – Functional safety. 2d Edition (2018) ISO 26262: Road vehicles – Functional safety. 2d Edition (2018)
2.
go back to reference ISO PAS 21448: Road vehicles—Safety of the intended functionality (2019) ISO PAS 21448: Road vehicles—Safety of the intended functionality (2019)
3.
go back to reference BS PAS 1883:2020 Operational design domain (ODD) taxonomy for an automated driving system (ADS). Specification, standard by BSI Group, 31 August 2020 BS PAS 1883:2020 Operational design domain (ODD) taxonomy for an automated driving system (ADS). Specification, standard by BSI Group, 31 August 2020
4.
go back to reference ISO TR 4804: Road vehicles—Safety and cybersecurity for automated driving systems—Design, verification and validation (2020) ISO TR 4804: Road vehicles—Safety and cybersecurity for automated driving systems—Design, verification and validation (2020)
5.
go back to reference ANSI/UL 4600: Standard for Evaluation of Autonomous Products (2020) ANSI/UL 4600: Standard for Evaluation of Autonomous Products (2020)
6.
go back to reference Sämann, T., Schlicht, P., Hüger, F.: Strategy to increase the safety of a DNN-based perception for HAD systems. arXiv preprint arXiv:​2002.​08935 (2020) Sämann, T., Schlicht, P., Hüger, F.: Strategy to increase the safety of a DNN-based perception for HAD systems. arXiv preprint arXiv:​2002.​08935 (2020)
7.
9.
go back to reference The Assurance Case Working Group: Goal Structuring Notation Community Standard (Version 3), May 2021 The Assurance Case Working Group: Goal Structuring Notation Community Standard (Version 3), May 2021
Metadata
Title
An Integrated Approach to a Safety Argumentation for AI-Based Perception Functions in Automated Driving
Authors
Michael Mock
Stephan Scholz
Frédérik Blank
Fabian Hüger
Andreas Rohatschek
Loren Schwarz
Thomas Stauner
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-83906-2_21

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