Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising

With the rapid development of intelligent transportation systems and growing emphasis on driver safety, real-time detection of driver drowsiness has become a critical area of research. This study presents a robust and scalable driver drowsiness detection framework that integrates a Swin Transformer-...

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Detaylı Bibliyografya
Asıl Yazarlar:	Samy Abd El-Nabi, Ahmed F. Ibrahim, El-Sayed M. El-Rabaie, Osama F. Hassan, Naglaa F. Soliman, Khalil F. Ramadan, Walid El-Shafai
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IEEE 2025-01-01
Seri Bilgileri:	IEEE Access
Konular:	Driver drowsiness detection facial recognition swin transformer eye-blink dataset CEW dataset diffusion model
Online Erişim:	https://ieeexplore.ieee.org/document/10966907/
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Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising

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