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dc.contributor.authorSons, Marc
dc.date.accessioned2025-03-07T14:59:47Z
dc.date.available2025-03-07T14:59:47Z
dc.date.issued2021
dc.date.submitted2021-05-27T09:28:21Z
dc.identifierONIX_20210527_9783731510291_25
dc.identifierOCN: 1258397448
dc.identifier1613-4214
dc.identifierhttps://library.oapen.org/handle/20.500.12657/48828
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/155413
dc.description.abstractAutomated vehicles heavily rely on accurate self-localization to operate safely and efficiently in dynamic road traffic scenarios. In this work, an iterative and robust approach to create highly accurate maps comprising any number of drives of arbitrary length with constant computation complexity is proposed. Furthermore, a high-precision self-localization method using multiple cameras covering the surrounding environment is presented.
dc.languageGerman
dc.relation.ispartofseriesSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.subject.otherSLAM
dc.subject.otherAutomatisiertes Fahren
dc.subject.otherFahrzeugsehen
dc.subject.otherUmweltwahrnehmung
dc.subject.otherLokalisierung
dc.subject.otherAutomated Driving
dc.subject.otherMachine Vision
dc.subject.otherEnvironment Perception
dc.subject.otherMapping and Localization
dc.titleAutomatische Erzeugung langzeitverfügbarer Punktmerkmalskarten zur robusten Lokalisierung mit Multi-Kamera-Systemen für automatisierte Fahrzeuge
dc.typebook
oapen.identifier.doi10.5445/KSP/1000118525
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731510291
oapen.collectionAG Universitätsverlage
oapen.pages182
oapen.place.publicationKarlsruhe
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
dc.seriesnumber45
dc.abstractotherlanguageAutomated vehicles heavily rely on accurate self-localization to operate safely and efficiently in dynamic road traffic scenarios. In this work, an iterative and robust approach to create highly accurate maps comprising any number of drives of arbitrary length with constant computation complexity is proposed. Furthermore, a high-precision self-localization method using multiple cameras covering the surrounding environment is presented.
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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Except where otherwise noted, this item's license is described as open access