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dc.contributor.authorRabe, Johannes*
dc.date.accessioned2021-02-11T17:23:32Z
dc.date.available2021-02-11T17:23:32Z
dc.date.issued2018*
dc.date.submitted2019-07-28 18:37:01*
dc.identifier34144*
dc.identifier.issn16134214*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/51371
dc.description.abstractThis works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations.*
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.otherlocalization augmented Reality navigation route guidance particle filter*
dc.subject.otherLokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter*
dc.titleLane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000086154*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731508540*
oapen.pagesXII, 165 p.*
oapen.volume042*
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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