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Improving Intelligent Vehicle Dependability By Means of Infrastructure-Induced Tests
TTTech Computertechnik AG, Vienna, Austria.
TTTech Computertechnik AG, Vienna, Austria.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5269-3900
2015 (English)In: Proceedings - 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2015, 2015, 147-152 p.Conference paper, Published paper (Refereed)
Abstract [en]

Advanced driver assistance systems (ADAS) take over more and more driving responsibilities from the human operator and, therefore, evolve into safety-critical systems. Thus, the dependability of such systems is of up-most importance. While upcoming automobiles themselves will implement fault-tolerance and robustness mechanisms, it can be beneficial to also take infrastructure measures into account when assessing the overall vehicle dependability. In this paper we discuss an example of an infrastructure measure that targets to improve the dependability of an on-board computer vision system. Based on this example we outline a cyber-physical systems (CPS) architecture for intelligent vehicles and address open research directions.

Place, publisher, year, edition, pages
2015. 147-152 p.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-29632DOI: 10.1109/DSN-W.2015.14Scopus ID: 2-s2.0-84957714187ISBN: 978-0-7695-5533-1 (print)OAI: oai:DiVA.org:mdh-29632DiVA: diva2:881494
Conference
45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2015; Rio de Janeiro; Brazil; 22 June 2015 through 25 June 2015; Category numberE5533; Code 117672
Projects
RetNet - The European Industrial Doctorate Programme on Future Real-Time Networks
Available from: 2015-12-10 Created: 2015-11-26 Last updated: 2016-02-25Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf