Robust perception systems for automated, connected, and electrified vehicles: advances from EU project ArchitectECA2030

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dc.contributor"European Union (EU)" & "Horizon 2020"
dc.contributor.authorRecekenzaun, Jakobcs
dc.contributor.authorSolmaz, Selimcs
dc.contributor.authorGoelles, Thomascs
dc.contributor.authorHilbert, Marccs
dc.contributor.authorWeimer, Danielcs
dc.contributor.authorMayer, Petercs
dc.contributor.authorChromý, Adamcs
dc.contributor.authorHentschel, Uwecs
dc.contributor.authorModler, Nielscs
dc.contributor.authorToth, Matecs
dc.contributor.authorHennecke, Marcuscs
dc.coverage.issue12cs
dc.coverage.volume72cs
dc.date.accessioned2024-02-23T08:45:27Z
dc.date.available2024-02-23T08:45:27Z
dc.date.issued2023-12-13cs
dc.description.abstractThe perception supply chain (SC1) of the ArchitectECA2030 project investigates failure modes, fault detection, and residual risk in perception systems of electrified, connected, and automated (ECA) vehicles. This accounts for the needs of a reliable understanding of the surrounding environment. The three demonstrators of SC1, described in this paper, address steps of a typical ECA usage cycle: charge - drive - restart charging. The foreign object detection (FOD) demonstrator improves safety within a wireless charging system. The robust physical sensors demonstrator creates a more robust perception by detecting failures within fused and single sensor data. The position enhancement demonstrator improves vehicle localization in areas with reduced GNSS signal coverage. All demonstrators are linked to the challenges that occur during the ECA vehicle usage cycleen
dc.formattextcs
dc.format.extent335-342cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationTransportation Research Procedia. 2023, vol. 72, issue 12, p. 335-342.en
dc.identifier.doi10.1016/j.trpro.2023.11.412cs
dc.identifier.issn2352-1465cs
dc.identifier.orcid0000-0002-8184-2255cs
dc.identifier.other187040cs
dc.identifier.researcheridB-3136-2014cs
dc.identifier.scopus55906563300cs
dc.identifier.urihttps://hdl.handle.net/11012/245199
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofTransportation Research Procediacs
dc.relation.projectIdinfo:eu-repo/grantAgreement/EC/H2020/877539/EU//ArchitectECA2030
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2352146523007093cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2352-1465/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectPerception system. ValidationElectrifiedconnected and automated mobilityen
dc.titleRobust perception systems for automated, connected, and electrified vehicles: advances from EU project ArchitectECA2030en
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-187040en
sync.item.dbtypeVAVen
sync.item.insts2024.02.23 09:45:27en
sync.item.modts2024.02.23 09:12:49en
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Kybernetika a robotikacs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
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