Behavior based estimation of dependability for autonomous mobile systems using particle filter
Abstract: The dependability of a system is particularly important when dealing with autonomous or semi-autonomous systems. With an increasing degree of autonomy and safety requirements, the requirements for dependability increase. Hence, being able to measure and compare the dependability of a syste...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
2009
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| In: |
17th IFAC world congress 2008 ; Vol. 3
Year: 2009, Pages: 1598-1603 |
| DOI: | 10.3182/20080706-5-KR-1001.02165 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.3182/20080706-5-KR-1001.02165 |
| Verfasserangaben: | Jan Rüdiger, Achim Wagner, Essam Badreddin |
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| 520 | |a Abstract: The dependability of a system is particularly important when dealing with autonomous or semi-autonomous systems. With an increasing degree of autonomy and safety requirements, the requirements for dependability increase. Hence, being able to measure and compare the dependability of a system is more and more inevitable. Since autonomous mobile systems are usually described by their behavior it is straightforward to also define the dependability of such a system in a behavioral context. Thus, in this paper, the approach of a behavioral based definition of dependability is used together with a Particle Filter to predict the dependability of an autonomous mobile system at runtime. | ||
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