Configurable Sensor Model Architecture for the Development of Automated Driving Systems

dc.contributor.authorSchmidt, Simon
dc.contributor.authorSchlager, Birgit
dc.contributor.authorMuckenhuber, Stefan
dc.contributor.authorStark, Rainer
dc.date.accessioned2021-08-17T07:57:49Z
dc.date.available2021-08-17T07:57:49Z
dc.date.issued2021-07-08
dc.date.updated2021-08-01T14:08:10Z
dc.description.abstractSensor models provide the required environmental perception information for the development and testing of automated driving systems in virtual vehicle environments. In this article, a configurable sensor model architecture is introduced. Based on methods of model-based systems engineering (MBSE) and functional decomposition, this approach supports a flexible and continuous way to use sensor models in automotive development. Modeled sensor effects, representing single-sensor properties, are combined to an overall sensor behavior. This improves reusability and enables adaptation to specific requirements of the development. Finally, a first practical application of the configurable sensor model architecture is demonstrated, using two exemplary sensor effects: the geometric field of view (FoV) and the object-dependent FoV.en
dc.identifier.eissn1424-8220
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/13505
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-12288
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc600 Technik, Technologiede
dc.subject.othersensor model architectureen
dc.subject.otherconfigurable sensor modelen
dc.subject.othersensor effectsen
dc.subject.otherautomated drivingen
dc.subject.othervirtual testingen
dc.subject.otherfunctional decompositionen
dc.subject.othermodel reusabilityen
dc.titleConfigurable Sensor Model Architecture for the Development of Automated Driving Systemsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber4687en
dcterms.bibliographicCitation.doi10.3390/s21144687en
dcterms.bibliographicCitation.issue14en
dcterms.bibliographicCitation.journaltitleSensorsen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume21en
tub.accessrights.dnbfreeen
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Werkzeugmaschinen und Fabrikbetrieb::FG Industrielle Informationstechnikde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Industrielle Informationstechnikde
tub.affiliation.instituteInst. Werkzeugmaschinen und Fabrikbetriebde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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