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AuthorMunz, Michaeldc.contributor.author
AuthorMaehlisch, Mirkodc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-06-01T09:03:46Zdc.date.accessioned
Available in OPARU since2018-06-01T09:03:46Zdc.date.available
Date of first publication2010dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordJoint integrated probabilistic data associationdc.subject
KeywordDempster Shafer Theorydc.subject
Keywordmulti sensor fusiondc.subject
Keywordmulti target trackingdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleGeneric Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systemsdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1109/MITS.2010.937293dc.identifier.doiExternal
Source - Title of sourceIEEE Intelligent Transportation Systems Magazinesource.title
Source - Place of publicationIEEEsource.publisher
Source - Volume2source.volume
Source - Issue1source.issue
Source - Year2010source.year
Source - From page6source.fromPage
Source - To page17source.toPage
Source - ISSN1939-1390source.identifier.issn
FundingTRR 62 / Eine Companion-Technologie für kognitive technische Systeme / DFG / SFB-TRR / 54371073uulm.funding
FundingDaimler AG, Group Research & Advanced Engineering, Ulm, Germanyuulm.funding
Open AccessNouulm.OA
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000209297700003uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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