Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern
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.
Keywords
Fahrzeug-Fußgänger-Kommunikation; Symbole; Farben; Neuronale Netze; Automatisiertes Fahren; Vehicle-Pedestrian-Communication; Symbols; Colors; Neural Networks; Automated DrivingDOI
10.5445/KSP/1000145569ISBN
9783731511854Publisher
KIT Scientific PublishingPublisher website
https://www.ksp.kit.edu/index.php?link=shop&sort=allPublication date and place
2022Series
Spektrum der Lichttechnik, 27Classification
Electrical engineering