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Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern

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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 in...

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Bibliographic Details
Main Author: Reschke, Johannes (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2022
Series:Spektrum der Lichttechnik
Subjects:
Electrical engineering
Fahrzeug-Fußgänger-Kommunikation; Symbole; Farben; Neuronale Netze; Automatisiertes Fahren; Vehicle-Pedestrian-Communication; Symbols; Colors; Neural Networks; Automated Driving
Online Access:DOAB: download the publication
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Description
Summary: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.
Physical Description:1 electronic resource (266 p.)
ISBN:KSP/1000145569
Access:Open Access

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