CNN-ViT: A multi-feature learning based approach for driver drowsiness detection
Driver drowsiness remains a critical contributor to road accidents, frequently resulting in severe injuries and fatalities. To address this issue, the present study proposes an advanced drowsiness detection system that combines the competencies of Convolutional Neural Networks (CNNs) — namely DenseN...
Kaydedildi:
| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2025-09-01
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| Seri Bilgileri: | Array |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2590005625000529 |
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