Road Signs Recognition by Using YOLOv8 Model-Reference-Cited by-同舟云学术

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Road Signs Recognition by Using YOLOv8 Model

Published:2023-11-22 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)
language:
Short-container-title:

Author:

Nabou Abdellah¹,Salih Atheer L.²,Ben Rabbaa Ibtissam³,Abdelwahed El-Hassan¹,Ait Ahmed Ouhamou Mouaad³

Affiliation:

1. Cadi Ayyad University,Computing Systems Engineering Laboratory (LISI),Computer Science Dept,Marrakesh,Morocco

2. DHBW University - Campus,Electrical & Communications Engineering Department,Friedrichshafen,Germany

3. Cadi Ayyad University,Computer Science Dept,Marrakesh,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373588/10373590/10373723.pdf?arnumber=10373723

Reference23 articles.

1. Convolutional neural networks for 5G-enabled Intelligent Transportation System : A systematic review

2. Traffic Sign Detection with Convolutional Neural Networks

3. Road Markings and Signs in Road Safety

4. A review on automatic detection and recognition of traffic sign

5. Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revolutionizing Signage Analysis: Leveraging YOLOv7 Object Detection for Comprehensive Classification and Assessment of Diverse Signage Types;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

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