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AuthorMeissner, Danieldc.contributor.author
AuthorReuter, Stephandc.contributor.author
AuthorStrigel, Eliasdc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-17T06:52:45Zdc.date.accessioned
Available in OPARU since2018-05-17T06:52:45Zdc.date.available
Date of first publication2014dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordhypothesis density filterdc.subject
Keyworddata associationdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleIntersection-Based Road User Tracking Using a Classifying Multiple-Model PHD Filterdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1109/MITS.2014.2304754dc.identifier.doiExternal
Source - Title of sourceIEEE Intelligent Transportation Systems Magazinesource.title
Source - Place of publicationIEEEsource.publisher
Source - Volume6source.volume
Source - Issue2source.issue
Source - Year2014source.year
Source - From page21source.fromPage
Source - To page33source.toPage
Source - ISSN1939-1390source.identifier.issn
FundingBundesministerium für Wirtschaft und Technologie (BMWi), Germany [19S9022G]uulm.funding
FundingTRR 62 / Eine Companion-Technologie für kognitive technische Systeme / DFG / SFB-TRR / 54371073uulm.funding
Open AccessNouulm.OA
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000350047700005uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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