A Lightweight Deep Learning Model for Real-time Detection and Recognition of Traffic Signs Images Based on YOLOv5-Reference-Cited by-同舟云学术

A Lightweight Deep Learning Model for Real-time Detection and Recognition of Traffic Signs Images Based on YOLOv5

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
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Author:

He Hui¹,Chen Qihong¹,Xie Guoping²,Yang Boxiong³,Li Shelei³,Zhou Bo³,Gu Yuye³

Affiliation:

1. Beijing Normal University,Advanced Institute of Natural Science,Zhuhai,China

2. China Information Center,Beijing,China

3. University of Sanya,School of Information & Intelligence Engineering,Sanya,China

Publisher

IEEE

Link

Reference25 articles.

1. Learning performance of convolutional neural networks with different pooling models;liu;Journal of Image and Graphic,2016

5. Identification of Traffic Signs in Haze Weather Based on Deep Learning[J];xiuxin;Journal of Chongqing Jiaotong University Natural Science,2020

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1. A Lightweight Model for Road Sign Detection Based on Improved-YOLOv8;2024 9th International Conference on Electronic Technology and Information Science (ICETIS);2024-05-17