Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their Performance

Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their Performance

Traffic sign detection systems constitute a key component in trending real-world applications such as autonomous driving and driver safety and assistance. In recent years, many learning systems have been used to help detect traffic signs more accurately, such as ResNet, Vgg, Squeeznet, and DenseNet,...

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Bibliographic Details
Main Authors: Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Hamed Famil Ghadakchi, Marco Re, Sergio Spanò
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
traffic sign
convolutional neural network
deep learning
CNN
dataset
Online Access:https://www.mdpi.com/1424-8220/22/22/8830

Internet

https://www.mdpi.com/1424-8220/22/22/8830

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