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dc.contributor.authorSons, Marc
dc.date.accessioned2021-05-27T09:28:21Z
dc.date.available2021-05-27T09:28:21Z
dc.date.issued2021
dc.identifierONIX_20210527_9783731510291_25
dc.identifier.issn1613-4214
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/48828
dc.languageGerman
dc.relation.ispartofseriesSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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 materialsen_US
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.abstract.otherlanguageAutomated 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.
oapen.identifier.doi10.5445/KSP/1000118525
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731510291
oapen.series.number45
oapen.pages182
oapen.place.publicationKarlsruhe


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