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AuthorHorn, Markusdc.contributor.author
AuthorSchumann, Oledc.contributor.author
AuthorHahn, Markusdc.contributor.author
AuthorDickmann, Juergendc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2019-08-14T09:45:47Zdc.date.accessioned
Available in OPARU since2019-08-14T09:45:47Zdc.date.available
Date of first publication2018dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleMotion Classification and Height Estimation of Pedestrians Using Sparse Radar Datadc.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 source2018 Symposium on Sensor Data Fusion: Trends, Solutions, Applications (SDF)source.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationInstitute of Electrical and Electronics Engineerssource.publisher
Source - Year2018source.year
Source - ISBN978-1-5386-9398-8source.identifier.isbn
Conference nameSymposium on Sensor Data Fusion - Trends, Solutions, Applications (SDF)uulm.conferenceName
Conference placeBonnuulm.conferencePlace
Conference start date2018-10-09uulm.conferenceStartDate
Conference end date2018-10-11uulm.conferenceEndDate
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000458573700007uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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