Bibliograph.
Daten | Käppeler, Uwe-Philipp; Benkmann, Ruben; Zweigle, Oliver; Lafrenz, Reinhard; Levi, Paul: Resolving Inconsistencies in Shared Context Models using Multiagent Systems.
In: Dillmann, Rüdiger (Hrsg); Burgard, Wolfram (Hrsg): Proceedings of the 10th International Conference on Intelligent Autonomous Systems: IAS-10; Baden Baden, Germany, July 23-25, 2008.
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
S. 93-98, deutsch.
Baden Baden: Springer-Verlag, 23. Juli 2008.
ISBN: 978-972-96895-3-6.
Artikel in Tagungsband (Konferenz-Beitrag).
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| CR-Klassif. | I.2.9 (Robotics)
H.3 (Information Storage and Retrieval)
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| Keywords | sensor; fusion; normalized weighted arithmetic mean; inconsistency |
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| Kurzfassung | The study reported in this paper evaluates procedures that combine a multitude of measurements to a single result that can be integrated in the shared context model. The statistically optimized procedure based on ratings of the participating agents is enhanced using scaled weighted arithmetic means which prevents the system from running into singularities caused by the feedback from the ratings. The method is combined with an additional preprocessing based on fuzzy clustering that detects aberrant measurements which can be excluded from further processing.
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| Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Bildverstehen
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| Projekt(e) | SFB-627, C3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Bildverstehen)
SFB-627, E3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Bildverstehen)
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| Eingabedatum | 18. Juni 2008 |
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