Deep fusion convolutional neural network for accurate and carbon efficient traffic sign recognition
Abstract Objective In intelligent transportation systems, accurate and efficient traffic sign recognition is essential for enhancing road safety and traffic management. This study proposes DF-CNN, a lightweight Deep Fusion Convolutional Neural Network designed to achieve high classification accuracy...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2026-06-01
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| Серія: | Discover Computing |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s10791-026-10246-2 |
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