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dc.contributor.authorRuhhammer, Christian*
dc.date.accessioned2021-02-11T16:10:14Z
dc.date.available2021-02-11T16:10:14Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:01:57*
dc.identifier34272*
dc.identifier.issn16134214*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/50183
dc.description.abstractThe next generation of driver assistance systems and highly automated driving functions are based on digital maps. In order to meet the high requirements on the correctness and up-to-dateness of this information, this work presents new automated methods to extract up-to-date map information from fleet data. The focus is on the inference of static intersection information from fleet data through machine learning and statistical methods.*
dc.languageGerman*
dc.relation.ispartofseriesSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.otherMaschinelles Lernen*
dc.subject.otherFlottendaten*
dc.subject.otherIntersection Information*
dc.subject.otherLichtsignalanlage*
dc.subject.otherAutomated Map Creation*
dc.subject.otherFleet Data*
dc.subject.otherTraffic Light*
dc.subject.otherAutomatisierte Kartenerstellung*
dc.subject.otherKreuzungsinformationen*
dc.subject.otherMachine Learning*
dc.titleInferenz von Kreuzungsinformationen aus Flottendaten*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000073704*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731507215*
oapen.pagesXIX, 171 p.*
oapen.volume37*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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