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Safer Than Perception: Assuring Confidence in Safety-Critical Decisions of Automated Vehicles

Fränzle, Martin and Hagemann, Willem and Damm, Werner and Rakow, Astrid and Swaminathan, Mani (2023) Safer Than Perception: Assuring Confidence in Safety-Critical Decisions of Automated Vehicles. In: Applicable Formal Methods for Safe Industrial Products Lecture Notes in Computer Science, 14165. Springer Cham. pp. 180-201. doi: 10.1007/978-3-031-40132-9. ISBN 978-3-031-40131-2.

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Official URL: https://link.springer.com/book/10.1007/978-3-031-40132-9


We address one of the key challenges in assuring safety of autonomous cyber-physical systems that rely on learning-enabled classification within their environmental perception: How can we achieve confidence in the perception chain, especially when dealing with percepts safeguarding critical manoeuvres? We present a methodology which allows to mathematically prove that the risk of misevaluating a safety-critical guard conditions referring to environmental artefacts can be bounded to a considerably lower frequency than the risk of individual misclassifications, and can thereby be adjusted to a value less than a given level of societally accepted risk.

Item URL in elib:https://elib.dlr.de/196720/
Document Type:Contribution to a Collection
Title:Safer Than Perception: Assuring Confidence in Safety-Critical Decisions of Automated Vehicles
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Fränzle, MartinUniversität OldenburgUNSPECIFIEDUNSPECIFIED
Hagemann, WillemUNSPECIFIEDhttps://orcid.org/0000-0002-9138-8340UNSPECIFIED
Damm, WernerUniversität OldenburgUNSPECIFIEDUNSPECIFIED
Swaminathan, ManiFederal Office for Information SecurityUNSPECIFIEDUNSPECIFIED
Date:16 August 2023
Journal or Publication Title:Applicable Formal Methods for Safe Industrial Products
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 180-201
EditorsEmailEditor's ORCID iDORCID Put Code
Haxthausen, Anne E.Technical University of DenmarkUNSPECIFIEDUNSPECIFIED
Huang, Wen-lingUniversity of BremenUNSPECIFIEDUNSPECIFIED
Roggenbach, MarkusSwansea UniversityUNSPECIFIEDUNSPECIFIED
Publisher:Springer Cham
Series Name:Lecture Notes in Computer Science
Keywords:Highly Automated Vehicles, Learning-enabled cyber physical systems, Learning Algorithms, Safety Assurance, Perception Chain
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility > Systems Theory and Design
Deposited By: Hagemann, Willem
Deposited On:31 Aug 2023 08:59
Last Modified:31 Aug 2023 08:59

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