Enhanced Traffic Sign Recognition with Ensemble Learning
With the growing trend in autonomous vehicles, accurate recognition of traffic signs has become crucial. This research focuses on the use of convolutional neural networks for traffic sign classification, specifically utilizing pre-trained models of ResNet50, DenseNet121, and VGG16. To enhance the ac...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2023-04-01
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| Saila: | Journal of Sensor and Actuator Networks |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2224-2708/12/2/33 |
| Etiketak: |
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