Article in Proceedings INPROC-2008-53

BibliographyKäppeler, Uwe-Philipp; Benkmann, Ruben; Zweigle, Oliver; Lafrenz, Reinhard; Levi, Paul: Resolving Inconsistencies in Shared Context Models using Multiagent Systems.
In: Dillmann, Rüdiger (ed.); Burgard, Wolfram (ed.): Proceedings of the 10th International Conference on Intelligent Autonomous Systems: IAS-10; Baden Baden, Germany, July 23-25, 2008.
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 93-98, german.
Baden Baden: Springer-Verlag, July 23, 2008.
ISBN: 978-972-96895-3-6.
Article in Proceedings (Conference Paper).
CR-SchemaI.2.9 (Robotics)
H.3 (Information Storage and Retrieval)
Keywordssensor; fusion; normalized weighted arithmetic mean; inconsistency
Abstract

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.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding
Project(s)SFB-627, C3 (University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding)
SFB-627, E3 (University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding)
Entry dateJune 18, 2008
   Publ. Institute   Publ. Computer Science