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AuthorDeusch, Hendrikdc.contributor.author
AuthorWiest, Juergendc.contributor.author
AuthorReuter, Stephandc.contributor.author
AuthorNuss, Dominikdc.contributor.author
AuthorFritzsche, Martindc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-29T09:16:17Zdc.date.accessioned
Available in OPARU since2018-05-29T09:16:17Zdc.date.available
Date of first publication2014dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleMulti-Sensor Self-Localization Based on Maximally Stable Extremal Regionsdc.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 source2014 IEEE Intelligent Vehicles Symposium proceedingssource.title
Source - PublisherNew Yorksource.publisherPlace
Source - Place of publicationInstitute of Electrical and Electronics Engineerssource.publisher
Source - Year2014source.year
Source - From page661source.fromPage
Source - To page666source.toPage
Source - SerialIEEE Intelligent Vehicles Symposiumsource.series
Source - ISSN1931-0587source.identifier.issn
Source - ISBN978-1-4799-3637-3source.identifier.isbn
Conference nameIEEE Intelligent Vehicles Symposium (IV)uulm.conferenceName
Conference placeDearborn, MIuulm.conferencePlace
Conference start date2014-06-08uulm.conferenceStartDate
Conference end date2014-06-11uulm.conferenceEndDate
Open AccessNouulm.OA
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000346153100105uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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