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...
Сохранить в:
| Главные авторы: | , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2025-09-01
|
| Серии: | Array |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2590005625000529 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
