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A sequential Monte Carlo approach for extended object tracking in the presence of clutter

dc.contributor.authorPetrov, Nikolay
dc.contributor.authorMihaylova, Lyudmila
dc.contributor.authorGning, Amadou
dc.contributor.authorAngelova, Donka
dc.contributor.editorHeiß, Hans-Ulrich
dc.contributor.editorPepper, Peter
dc.contributor.editorSchlingloff, Holger
dc.contributor.editorSchneider, Jörg
dc.date.accessioned2018-11-27T10:00:09Z
dc.date.available2018-11-27T10:00:09Z
dc.date.issued2011
dc.description.abstractExtended objects are characterised with multiple measurements originated from different locations of the object surface. This paper presents a novel Sequential Monte Carlo (SMC) approach for extended object tracking in the presence of clutter. The problem is formulated for general nonlinear problems. The main contribution of this work is in the derivation of the likelihood function for nonlinear measurement functions, with sets of measurements belonging to a bounded region. Simulation results are presented when the object is surrounded by a circular region. Accurate estimation results are presented both for the object kinematic state and object extent.en
dc.identifier.isbn978-88579-286-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18808
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2011 – Informatik schafft Communities
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-192
dc.titleA sequential Monte Carlo approach for extended object tracking in the presence of clutteren
dc.typeText/Conference Paper
gi.citation.endPage494
gi.citation.publisherPlaceBonn
gi.citation.startPage494
gi.conference.date4.-7. Oktober 2011
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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