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dc.contributor.authorBrunker, Alexander
dc.date.accessioned2025-09-29T14:47:03Z
dc.date.available2025-09-29T14:47:03Z
dc.date.issued2025
dc.identifierONIX_20250929T164423_9783731513834_7
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/106179
dc.languageDutch
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
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.abstract.otherlanguageAs 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.
oapen.identifier.doi10.5445/KSP/1000174155
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731513834
oapen.imprintKIT Scientific Publishing
oapen.series.number124
oapen.pages234
oapen.place.publicationKarlsruhe, Germany


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