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AuthorGraf, Maximiliandc.contributor.author
AuthorSpeidel, Oliverdc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2020-02-26T06:50:02Zdc.date.accessioned
Available in OPARU since2020-02-26T06:50:02Zdc.date.available
Date of first publication2019dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleA Model Based Motion Planning Framework For Automated Vehicles in Structured Environmentsdc.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 source2019 30th IEEE Intelligent Vehicles Symposium (IV19)source.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationIEEEsource.publisher
Source - Year2019source.year
Source - From page201source.fromPage
Source - To page206source.toPage
Source - SerialIEEE Intelligent Vehicles Symposiumsource.series
Source - ISSN1931-0587source.identifier.issn
Source - ISBN978-1-7281-0560-4source.identifier.isbn
FundingEuropean Unions Horizon 2020 research and innovation programme [69075]uulm.funding
Conference name30th IEEE Intelligent Vehicles Symposium (IV)uulm.conferenceName
Conference placeParis, Franceuulm.conferencePlace
Conference start date2019-06-09uulm.conferenceStartDate
Conference end date2019-06-12uulm.conferenceEndDate
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000508184100033uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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