SelfAutoDOC – Self-healing Automotive Driving platform powered by Organic Computing

Verbundprojekt

dc.contributor.authorAbuteir, Mohammed
dc.date.accessioned2025-10-30T12:56:25Z
dc.date.available2025-10-30T12:56:25Z
dc.date.issued2025-09-30
dc.description.versionpublishedVersion
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/25294
dc.identifier.urihttps://doi.org/10.34657/24311
dc.language.isoger
dc.publisherHannover : Technische Informationsbibliothek
dc.relation.affiliationTTTech Auto Germany GmbH
dc.relation.affiliationJohann Wolfgang Goethe-Universität Frankfurt am Main - FB 12 Informatik und Mathematik - Institut für Informatik
dc.relation.affiliationUniversität Siegen - Fakultät IV - Department Elektrotechnik und Informatik - Lehrstuhl Embedded Systems
dc.relation.affiliationplc2 Design GmbH
dc.rights.licenseCreative Commons Attribution-NonDerivs 3.0 Germany
dc.rights.urihttps://creativecommons.org/licenses/by-nd/3.0/de/
dc.subject.ddc000 | Informatik, Information und Wissen, allgemeine Werke
dc.titleSelfAutoDOC – Self-healing Automotive Driving platform powered by Organic Computingeng
dc.title.subtitleVerbundprojekt
dc.typeReport
dcterms.extent15 Seiten
dtf.duration01.12.21-28.02.25
dtf.funding.funderBMWE
dtf.funding.program19A21044A
dtf.funding.program19A21044B
dtf.funding.program19A21044C
dtf.funding.program19A21044D
dtf.funding.verbundnummer01242492
tib.accessRightsopenAccess

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