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  4. System Health Indicators in Mixed Criticality E/E Systems in Automated Driving Context
 
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2020
Conference Paper
Title

System Health Indicators in Mixed Criticality E/E Systems in Automated Driving Context

Abstract
One problem standing in the way of fully automated vehicles is the question of how to ensure vehicle safety and the safety of all traffic participants. Standards like ISO 26262 and ISO/PAS 21448 tackle those issues from different viewpoints by defining safety measures and mechanisms. While ISO 26262 focuses on safety hazards arising from malfunctioning of E/E systems, ISO/PAS 21448 stresses hazards due to technological limitations. However, it is an open challenge how system-wide safety can be monitored and validated at run-time. To complement those safety specifications we propose a system-wide run-time safety analysis. Our System Health Management concept is based on so-called Health Indicators (HIs) to propagate knowledge about detected errors and trigger appropriate error reactions. We analyze probable information sources to define meaningful HIs in automated driving context and investigate influence factors, of both ISO 26262 and ISO/PAS 21448. We apply our approach to a case study demonstrating its applicability in an automated driving scenario.
Author(s)
Dollinger, Friederike
Technische Univ. München, München
Asmus, Rinat
BMW Group, München
Dreiser, Marc  
Fraunhofer-Institut für Kognitive Systeme IKS  
Mainwork
Software Architecture. 14th European Conference, ECSA 2020. Proceedings  
Project(s)
LZ SiS
Funder
Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie StMWi  
Conference
European Conference on Software Architecture (ECSA) 2020  
International Workshop on Automotive System/Software Architecture (WASA) 2020  
DOI
10.24406/publica-r-409112
10.1007/978-3-030-59155-7_36
File(s)
N-605900.pdf (274.12 KB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Kognitive Systeme IKS  
Keyword(s)
  • saftey

  • automated driving system

  • health indicator

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