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AuthorStolz, Martindc.contributor.author
AuthorLi, Mingkangdc.contributor.author
AuthorFeng, Zhaofeidc.contributor.author
AuthorKunert, Martindc.contributor.author
AuthorMenzel, Wolfgangdc.contributor.author
Date of accession2019-08-21T09:36:39Zdc.date.accessioned
Available in OPARU since2019-08-21T09:36:39Zdc.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
TitleHigh Resolution Automotive Radar Data Clustering with Novel Cluster Methoddc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mikrowellentechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
Source - Title of sourceSpurring innovationsource.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationInstitute of Electrical and Electronics Engineerssource.publisher
Source - Year2018source.year
Source - From page164source.fromPage
Source - To page168source.toPage
Source - SerialIEEE Radar Conferencesource.series
Source - ISSN1097-5764source.identifier.issn
Source - ISBN978-1-5386-4167-5source.identifier.isbn
Conference nameIEEE Radar Conferenceuulm.conferenceName
Conference placeOklahoma City, OKuulm.conferencePlace
Conference start date2018-04-23uulm.conferenceStartDate
Conference end date2018-04-27uulm.conferenceEndDate
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000442172700030uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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