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Mapping and Localization in Urban Environments Using Cameras

dc.contributor.authorLategahn, Henning*
dc.date.accessioned2021-02-11T18:43:38Z
dc.date.available2021-02-11T18:43:38Z
dc.date.issued2013*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35110*
dc.identifier.issn16134214*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/52717
dc.description.abstractIn this work we present a system to fully automatically create a highly accurate visual feature map from image data aquired from within a moving vehicle. Moreover, a system for high precision self localization is presented. Furthermore, we present a method to automatically learn a visual descriptor. The map relative self localization is centimeter accurate and allows autonomous driving.*
dc.languageEnglish*
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 Sehen*
dc.subject.otherLokalisierung*
dc.subject.otherKartierung*
dc.subject.otherAutonomes Fahren*
dc.titleMapping and Localization in Urban Environments Using Cameras*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000037227*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731501350*
oapen.pagesVIII, 116 p.*
oapen.volume028*
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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