Traffic Sign Recognition using YOLOv4-Reference-Cited by-同舟云学术

Traffic Sign Recognition using YOLOv4

Published:2022-04-15 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)
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Author:

Yan Wenjing¹,Yang Guohua¹,Zhang Wanlin¹,Liu Lei¹

Affiliation:

1. Wuxi Vocational Institute of Commerce,Wuxi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778657.pdf?arnumber=9778657

Reference15 articles.

1. You only look once: Unified real-time object detection;redmon;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2016

2. Yolov4: Optimal speed and accuracy of object detection;bochkovskiy,0

3. An improved traffic sign detection method;huang;Modern Computer,0

4. Improved traffic sign recognition algorithm based on YOLO v3 algorithm;jiang;Journal of Computer Applications,2020

5. Traffic sign recognition algorithm based on depthwise separable convolutions

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4. Detection of traffic sign based on YOLOv8;AIP Conference Proceedings;2024

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