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AuthorWiest, Juergendc.contributor.author
AuthorKarg, Matthiasdc.contributor.author
AuthorKunz, Felixdc.contributor.author
AuthorReuter, Stephandc.contributor.author
AuthorKressel, Ulrichdc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-14T14:34:00Zdc.date.accessioned
Available in OPARU since2018-05-14T14:34:00Zdc.date.available
Date of first publication2015dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordemdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleA Probabilistic Maneuver Prediction Framework for Self-Learning Vehicles with Application to Intersectionsdc.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 source2015 IEEE Intelligent Vehicles Symposium (IV)source.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationIEEEsource.publisher
Source - Year2015source.year
Source - From page349source.fromPage
Source - To page355source.toPage
Source - SerialIEEE Intelligent Vehicles Symposiumsource.series
Source - ISSN1931-0587source.identifier.issn
Source - ISBN978-1-4673-7266-4source.identifier.isbn
Conference nameIEEE Intelligent Vehicles Symposiumuulm.conferenceName
Conference placeSeoul, South Koreauulm.conferencePlace
Conference start date2015-06-28uulm.conferenceStartDate
Conference end date2015-07-01uulm.conferenceEndDate
Open AccessNouulm.OA
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000380565800058uulm.identifier.wos


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