A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

Detecting and classifying driver distractions is crucial in the prevention of road accidents. These distractions impact both driver behavior and vehicle dynamics. Knowing the degree of driver distraction can aid in accident prevention techniques, including transitioning of control to a level 4 semi-...

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Bibliographic Details
Main Authors: Adebamigbe Fasanmade, Ying He, Ali H. Al-Bayatti, Jarrad Neil Morden, Suleiman Onimisi Aliyu, Ahmed S. Alfakeeh, Alhuseen Omar Alsayed
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fuzzy logic systems
driver distraction
severity level
ADAS
image processing
dynamic Bayesian
Online Access:https://ieeexplore.ieee.org/document/9093892/

Internet

https://ieeexplore.ieee.org/document/9093892/

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