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Graph analysis of uncertain measurements for position estimation

dc.contributor.authorHamp, Quirin
dc.contributor.authorReindl, Leonhard
dc.contributor.editorFähnrich, Klaus-Peter
dc.contributor.editorFranczyk, Bogdan
dc.date.accessioned2019-01-11T10:29:27Z
dc.date.available2019-01-11T10:29:27Z
dc.date.issued2010
dc.description.abstractThis paper presents a method for multi target detection and localization based on heterogeneous uncertain information produced by multiple agents. Information association is based on graph analysis which considers georeferences, spatial precision and pre-existing knowledge. The objective of the scoring fusion is to suggest as quickly and as precisely as possible the hypothetic positions of trapped persons by increasing the quality of uncertain information. The overall aim is to ameliorate the search efficiency by increasing the detection capabilities while reducing risks, false alarms and oversight.en
dc.identifier.isbn978-3-88579-270-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19378
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-176
dc.titleGraph analysis of uncertain measurements for position estimationen
dc.typeText/Conference Paper
gi.citation.endPage155
gi.citation.publisherPlaceBonn
gi.citation.startPage150
gi.conference.date27.09.-01.10.2010
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

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