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dc.contributor.authorBrunker, Alexander
dc.date.accessioned2025-11-30T09:11:15Z
dc.date.available2025-11-30T09:11:15Z
dc.date.issued2025
dc.date.submitted2025-09-29T14:47:03Z
dc.identifierONIX_20250929T164423_9783731513834_7
dc.identifierhttps://library.oapen.org/handle/20.500.12657/106179
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/207343
dc.description.abstractAs part of this work, a special vehicle movement model is being developed for future parking applications. It uses standard sensor technology and requires hardly any additional computing power. An adaptive localization filter with a robust information filter structure processes redundant motion data and reliably estimates wheel slip and sensor errors. The method significantly increases the accuracy and robustness of localization.
dc.languageDutch
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.rightsopen access
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.subject.otherFahrzeugtechnik
dc.subject.otherfilter algorithms
dc.subject.otherFilteralgorithmen
dc.subject.othermulti-sensor data fusion
dc.subject.otherMultisensordatenfusion
dc.subject.otherOptimierung
dc.subject.otheroptimization
dc.subject.otherparking systems
dc.subject.otherParksysteme
dc.subject.otherVehicle technology
dc.titleHochgenaue und robuste odometriebasierte Lokalisierung in einem Parkvorgang
dc.typebook
oapen.identifier.doi10.5445/KSP/1000174155
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731513834
oapen.imprintKIT Scientific Publishing
oapen.pages234
oapen.place.publicationKarlsruhe, Germany
dc.seriesnumber124
dc.abstractotherlanguageAs part of this work, a special vehicle movement model is being developed for future parking applications. It uses standard sensor technology and requires hardly any additional computing power. An adaptive localization filter with a robust information filter structure processes redundant motion data and reliably estimates wheel slip and sensor errors. The method significantly increases the accuracy and robustness of localization.


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