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dc.contributor.authorWeiß, Gereon-
dc.contributor.authorGansloser, Jens-
dc.contributor.authorSchwaiger, Adrian-
dc.contributor.authorHenne, Maximilian-
dc.date.accessioned2023-12-07T08:41:55Z-
dc.date.available2023-12-07T08:41:55Z-
dc.date.issued2023-12-01-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/370-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/312-
dc.description.abstractResults for autonomous driving scenarios simulated with CARLA under different environment conditions.en
dc.description.sponsorshipThis work was supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics–Data–Applications (ADACenter) within the framework of ”BAYERN DIGITAL II”.en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectAutonomus Drivingen
dc.subjectObject Detectionen
dc.subjectSimulationen
dc.subjectArtificial Intelligenceen
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werkeen
dc.titleAssured Resilience in Autonomous Systems – Supplementary Materialen
dc.title.alternativeCARLA Scenariosen
dc.typeTabular Dataen
dc.contributor.funderBayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie StMWien
dc.description.technicalinformationThe models have been trained on the datasets Berkely Deep Drive, COCO and KITTI with ensemble distribution distillation and standard softmax training. As base model architecture a slightly advanced version of Yolov3 has been used.en
fordatis.groupIUK-Technologieen
fordatis.instituteIKS Fraunhofer-Institut für Kognitive Systemeen
fordatis.project.fhgid10-11081-2040-00001en
fordatis.rawdatatrueen
fordatis.sponsorship.projectnameCenter for Analytics-Data-Applicationsen
fordatis.sponsorship.projectacronymADACenteren
fordatis.sponsorship.ResearchFrameworkProgrammBAYERN DIGITAL IIen
fordatis.date.start2021-01-
fordatis.date.end2021-09-
Appears in Collections:Fraunhofer-Institut für Kognitive Systeme IKS

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