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

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...

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Bibliographic Details
Main Authors: Ali Nafaa Jaafar, Mustafa Nafea Alzubaidi
Format: Article
Language:English
Published: University of Zagreb, Faculty of organization and informatics 2025-01-01
Series:Journal of Information and Organizational Sciences
Subjects:
VGG16
ResNet50
YOLOv8
distracted driver detection
Transfer learning
Online Access:https://hrcak.srce.hr/file/480303
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