DC FieldValueLanguage
dc.contributor.authorFernau, Loic Fredric-
dc.contributor.authorTaefi, Tessa T.-
dc.date.accessioned2024-05-23T12:11:36Z-
dc.date.available2024-05-23T12:11:36Z-
dc.date.issued2024-03-20-
dc.identifier.isbn979-8-3503-9452-8en_US
dc.identifier.isbn979-8-3503-9453-5en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/15809-
dc.description.sponsorshipBundesministerium für Wirtschaft und Klimaschutzen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectUltra-Widebanden_US
dc.subjectUWBen_US
dc.subjectAOAen_US
dc.subjectAnge of Arrivalen_US
dc.subjectSensorsen_US
dc.subjectDistanceen_US
dc.subjectMobile Robotsen_US
dc.subject.ddc600: Techniken_US
dc.titleOn the precision of single-receiver ultra-wideband tracking using combined distance and angle of arrival measurementen
dc.typeinProceedingsen_US
dc.relation.conferenceInternational Conference on Artificial Intelligence, Computer, Data Sciences and Applications 2024en_US
dc.description.versionPeerRevieweden_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteFakultät Design, Medien und Informationen_US
tuhh.publication.instituteDepartment Medientechniken_US
tuhh.publisher.doi10.1109/ACDSA59508.2024.10467612-
tuhh.relation.ispartofseries2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)en_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.relation.projectMobile Erfassung von Fledermäusen bei On-Shore Windenergieanlagen durch autonome Messdrohnen - Teilvorhaben: FriendlyDroneen_US
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeinProceedings-
item.tuhhseriesid2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)-
item.creatorGNDFernau, Loic Fredric-
item.creatorGNDTaefi, Tessa T.-
item.languageiso639-1en-
item.creatorOrcidFernau, Loic Fredric-
item.creatorOrcidTaefi, Tessa T.-
item.cerifentitytypePublications-
item.seriesref2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)-
crisitem.project.funderBundesministerium für Wirtschaft und Klimaschutz-
crisitem.author.deptDepartment Medientechnik-
crisitem.author.orcid0000-0002-8391-956X-
crisitem.author.parentorgFakultät Design, Medien und Information-
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