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AuthorMaehlisch, Mirkodc.contributor.author
AuthorSchweiger, Rolanddc.contributor.author
AuthorRitter, Wernerdc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-06-01T10:08:38Zdc.date.accessioned
Available in OPARU since2018-06-01T10:08:38Zdc.date.available
Date of first publication2006dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordjoint target trackingdc.subject
Keywordprobability hypothesis densitydc.subject
Keywordvehicle detectiondc.subject
Keywordfuture driver assistance systemsdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleMultisensor vehicle tracking with the probability hypothesis density filterdc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
Source - Title of source2006 9th International Conference on Information Fusion, Vols 1-4source.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationIEEEsource.publisher
Source - Year2006source.year
Source - From page632source.fromPage
Source - To page639source.toPage
Source - ISBN978-1-4244-0953-2source.identifier.isbn
Conference name9th International Conference on Information Fusionuulm.conferenceName
Conference placeFlorence, Italyuulm.conferencePlace
Conference start date2006-07-10uulm.conferenceStartDate
Open AccessNouulm.OA
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
xmlui.metadata.uulm.identifier.wos000245998000088uulm.identifier.wos


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