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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Detalles Bibliográficos
Autores principales: Canese, Lorenzo, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Famil Ghadakchi, Hamed, Re, Marco, Spanò, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693635/
https://www.ncbi.nlm.nih.gov/pubmed/36433431
http://dx.doi.org/10.3390/s22228830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693635/
https://www.ncbi.nlm.nih.gov/pubmed/36433431
http://dx.doi.org/10.3390/s22228830

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