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AuthorKoehler, Sebastiandc.contributor.author
AuthorGoldhammer, Michaeldc.contributor.author
AuthorBauer, Sebastiandc.contributor.author
AuthorZecha, Stephandc.contributor.author
AuthorDoll, Konraddc.contributor.author
AuthorBrunsmann, Ulrichdc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-25T09:19:46Zdc.date.accessioned
Available in OPARU since2018-05-25T09:19:46Zdc.date.available
Date of first publication2013dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleStationary Detection of the Pedestrian's Intention at Intersectionsdc.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.2013.2276939dc.identifier.doiExternal
Source - Title of sourceIEEE Intelligent Transportation Systems Magazinesource.title
Source - Place of publicationIEEEsource.publisher
Source - Volume5source.volume
Source - Issue4source.issue
Source - Year2013source.year
Source - From page87source.fromPage
Source - To page99source.toPage
Source - ISSN1939-1390source.identifier.issn
FundingBayerisches Staatsministerium fur Wissenschaftuulm.funding
FundingForschung und Kunst in the context of the Intelligente Fahrerassistenzsysteme at the University of Applied Sciences Aschaffenburguulm.funding
FundingGerman Bundesministerium fur Wirtschaft und Technologie (Federal Department of Commerce and Technology) [19S9022B]uulm.funding
Open AccessNouulm.OA
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000209299300013uulm.identifier.wos


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