Adaptive System for Autonomous Driving

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Avoiding faults in systems is of uttermost importance during system development. In case of autonomous systems this requirement becomes more important because of the fact that there is no human in the loop that can take over control after a fault. In this paper, we discuss a methodology allowing to implement a system that reacts on faults in a smart way using rules specifying possible sequences of actions a system can take for reaching a goal. In the methodology the selection of actions is done automatically aiming at reaching the goal state. The methodology allows a system to adapt in cases where action execution fails. Besides the underlying foundations, we show the applicability of the methodology using an example from the autonomous driving domain considering different sensors for obstacle detection. For this case study the methodology leads to a substantial improvement of availability compared to a random selection approach.

LanguageEnglish
Title of host publicationProceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
PublisherInstitute of Electrical and Electronics Engineers
Pages519-525
Number of pages7
ISBN (Print)9781538678398
DOIs
StatusPublished - 9 Aug 2018
Event18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018 - Lisbon, Portugal
Duration: 16 Jul 201820 Jul 2018

Conference

Conference18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
CountryPortugal
CityLisbon
Period16/07/1820/07/18

Fingerprint

Adaptive systems
Availability
Sensors

Keywords

  • Reliability
  • Self-adaptation
  • Self-healing

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

Cite this

Wotawa, F., & Zimmermann, M. (2018). Adaptive System for Autonomous Driving. In Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018 (pp. 519-525). [8432021] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/QRS-C.2018.00093

Adaptive System for Autonomous Driving. / Wotawa, Franz; Zimmermann, Martin.

Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018. Institute of Electrical and Electronics Engineers, 2018. p. 519-525 8432021.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Wotawa, F & Zimmermann, M 2018, Adaptive System for Autonomous Driving. in Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018., 8432021, Institute of Electrical and Electronics Engineers, pp. 519-525, 18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018, Lisbon, Portugal, 16/07/18. https://doi.org/10.1109/QRS-C.2018.00093
Wotawa F, Zimmermann M. Adaptive System for Autonomous Driving. In Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018. Institute of Electrical and Electronics Engineers. 2018. p. 519-525. 8432021 https://doi.org/10.1109/QRS-C.2018.00093
Wotawa, Franz ; Zimmermann, Martin. / Adaptive System for Autonomous Driving. Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018. Institute of Electrical and Electronics Engineers, 2018. pp. 519-525
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