About: Multisensor Constrained Estimation with Unscented Transformation

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5712075
Description	The paper focuses on multisensor constrained estimation. The possibility of an extension of a current unconstrained fusion technique is discussed for equality constrained estimates. Basic approaches to multisensor constrained estimation with fusion centre are proposed and discussed. The stress is laid on the constraint in or outside the estimation loop and on the constrained fusion of unconstrained or constrained estimates. The constraint is applied by the estimate projection method with the use of the unscented transformation which does not require the computation of derivatives and detour the problem of singular covariance matrices that are obtained by linearising the projection. A ground tracking example is given and the approaches are compared. The paper focuses on multisensor constrained estimation. The possibility of an extension of a current unconstrained fusion technique is discussed for equality constrained estimates. Basic approaches to multisensor constrained estimation with fusion centre are proposed and discussed. The stress is laid on the constraint in or outside the estimation loop and on the constrained fusion of unconstrained or constrained estimates. The constraint is applied by the estimate projection method with the use of the unscented transformation which does not require the computation of derivatives and detour the problem of singular covariance matrices that are obtained by linearising the projection. A ground tracking example is given and the approaches are compared. (en)
Title	Multisensor Constrained Estimation with Unscented Transformation Multisensor Constrained Estimation with Unscented Transformation (en)
skos:prefLabel	Multisensor Constrained Estimation with Unscented Transformation Multisensor Constrained Estimation with Unscented Transformation (en)
skos:notation	RIV/49777513:23520/10:43898272!RIV14-MSM-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(1M0572), P(GA102/08/0442), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Ajgl, Jiří Šimandl, Miroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	273200
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/10:43898272
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Multisensor fusion, filtering, constrained estimation, unscented transformation, nonlinear constraint (en)
http://linked.open.../riv/klicoveSlovo	Multisensor fusion constrained estimation nonlinear constraint unscented transformation filtering
http://linked.open...ontrolniKodProRIV	[9B0E7A720EC1]
http://linked.open...v/mistoKonaniAkce	Edinburgh, UK
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	Proceedings of the 13th International Conference on Information Fusion
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making Feasible approximations of dual control strategies
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Šimandl, Miroslav Ajgl, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-07-26 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-0-9824438-1-1
http://localhost/t...ganizacniJednotka	23520

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