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Improving Dependability of Vision-Based Advanced Driver Assistance Systems Using Navigation Data and Checkpoint Recognition
TTTech Computertechnik AG, Vienna, Austria.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5269-3900
TTTech Computertechnik AG, Vienna, Austria.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
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2015 (English)In: COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2015, 2015, 59-73 p.Conference paper, Published paper (Refereed)
Abstract [en]

Advanced Driver Assistance Systems (ADAS), like adaptive cruise control, collision avoidance, and, ultimately, autonomous driving are increasingly evolving into safety-critical systems. These ADAS frequently rely on proper function of Computer-Vision Systems (CVS), which is hard to assess in a timely manner, due to their sensitivity to the variety of illumination conditions (e.g. weather conditions, sun brightness). On the other hand, self-awareness information is available in the vehicle, such as maps and localization data (e.g. GPS).

This paper studies how the combination of diverse environmental information can improve the overall vision-based ADAS reliability. To this extent we present a concept of a Computer-Vision Monitor (CVM) that identifies predefined landmarks in the vehicles surrounding, based on digital maps and localization data, and that checks whether the CVS correctly identifies said landmarks. We formalize and assess the reliability improvement of our solution by means of a fault-tree analysis.

Place, publisher, year, edition, pages
2015. 59-73 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9337
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-29630DOI: 10.1007/978-3-319-24255-2_6ISI: 000366204300006Scopus ID: 2-s2.0-84969752583ISBN: 978-3-319-24254-5 (print)OAI: oai:DiVA.org:mdh-29630DiVA: diva2:881503
Conference
International Conference on Computer Safety, Reliability & Security SAFECOMP 2015, 23-25 Sep 2015, Delft, Netherlands
Projects
RetNet - The European Industrial Doctorate Programme on Future Real-Time Networks
Available from: 2015-12-10 Created: 2015-11-26 Last updated: 2016-12-27Bibliographically approved

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Punnekkat, Sasikumar

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CiteExportLink to record
Permanent link

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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
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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