Comparative Study of VGG16, ResNet50, and YOLOv8 Models in Detecting Driver Distraction in Varying Lighting Conditions

Observing driver distractions while driving gives valuable information to prevent accidents, so it is necessary to use effective monitoring methods. Deep learning is showing new capabilities in solving this issue. This study evaluates the results of CNN, YOLOv8, ResNet50 and VGG16 deep learning mode...

Descripció completa

Dades bibliogràfiques

Autors principals:	Ali Nafaa Jaafar, Mustafa Nafea Alzubaidi
Format:	Artigo
Idioma:	Inglês
Publicat:	University of Zagreb Faculty of organization and informatics 2025-01-01
Col·lecció:	Journal of Information and Organizational Sciences
Matèries:	VGG16 ResNet50 YOLOv8 distracted driver detection Transfer learning
Accés en línia:	https://hrcak.srce.hr/file/480303
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!