A Real-Time Traffic Sign Recognition Method Using a New Attention-Based Deep Convolutional Neural Network for Smart Vehicles

Nesrine Triki, Mohamed Karray, Mohamed Ksantini

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DOI: 10.3390/app13084793
Published: 2023-04-11
Container: Applied Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/app13084793,
  title = {A Real-Time Traffic Sign Recognition Method Using a New Attention-Based Deep Convolutional Neural Network for Smart Vehicles},
  author = {Nesrine Triki and Mohamed Karray and Mohamed Ksantini},
  year = {2023},
  journal = {Applied Sciences},
  doi = {10.3390/app13084793},
  url = {https://doi.org/10.3390/app13084793}
}

RIS

TY  - JOUR
TI  - A Real-Time Traffic Sign Recognition Method Using a New Attention-Based Deep Convolutional Neural Network for Smart Vehicles
AU  - Nesrine Triki
AU  - Mohamed Karray
AU  - Mohamed Ksantini
PY  - 2023
JO  - Applied Sciences
DO  - 10.3390/app13084793
UR  - https://doi.org/10.3390/app13084793
ER  -

APA

Triki, N., Karray, M., & Ksantini, M. (2023). A Real-Time Traffic Sign Recognition Method Using a New Attention-Based Deep Convolutional Neural Network for Smart Vehicles. Applied Sciences. https://doi.org/10.3390/app13084793

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crossref · retrieved 2026-09-25T04:30:05.957Z