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AuthorScheel, Alexanderdc.contributor.author
AuthorKnill, Christinadc.contributor.author
AuthorReuter, Stephandc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-15T08:08:16Zdc.date.accessioned
Available in OPARU since2018-05-15T08:08:16Zdc.date.available
Date of first publication2016dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordrandom finite setsdc.subject
Keywordmodeldc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleMulti-Sensor Multi-Object Tracking of Vehicles Using High-Resolution Radarsdc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
InstitutionInstitut für Mikrowellentechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
Source - Title of source2016 IEEE Intelligent Vehicles Symposium (IV)source.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationIEEEsource.publisher
Source - Year2016source.year
Source - From page558source.fromPage
Source - To page565source.toPage
Source - SerialIEEE Intelligent Vehicles Symposiumsource.series
Source - ISSN1931-0587source.identifier.issn
Source - ISBN978-1-5090-1821-5source.identifier.isbn
Conference nameIEEE Intelligent Vehicles Symposium (IV)uulm.conferenceName
Conference placeGothenburg, Swedenuulm.conferencePlace
Conference start date2016-06-19uulm.conferenceStartDate
Conference end date2016-06-22uulm.conferenceEndDate
Open AccessNouulm.OA
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000390845600090uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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