Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern

dc.contributor.author	Reschke, Johannes
dc.date.accessioned	2022-10-11T04:03:15Z
dc.date.available	2022-10-11T04:03:15Z
dc.date.issued	2022
dc.date.submitted	2022-10-10T12:51:36Z
dc.identifier	https://library.oapen.org/handle/20.500.12657/58529
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/92572
dc.description.abstract	Especially pedestrians rely on the interaction with other road users. The introduction of automated driving systems withdraws this communication from drivers and thus, vehicles need to interact with pedestrians. Therefore, multiple vehicle-pedestrian-communication concepts are evaluated. A driver intention prediction allows pedestrians to learn these newly introduced signals, while driver and vehicle communicate simultaneously.
dc.language	German
dc.relation.ispartofseries	Spektrum der Lichttechnik
dc.rights	open access
dc.subject.other	Fahrzeug-Fußgänger-Kommunikation; Symbole; Farben; Neuronale Netze; Automatisiertes Fahren; Vehicle-Pedestrian-Communication; Symbols; Colors; Neural Networks; Automated Driving
dc.subject.other	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.title	Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern
dc.type	book
oapen.identifier.doi	10.5445/KSP/1000145569
oapen.relation.isPublishedBy	68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages	266
dc.seriesnumber	27

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