Improved YOLOv5s Lightweight Vehicle Axle Recognition Model-Reference-Cited by-同舟云学术

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Improved YOLOv5s Lightweight Vehicle Axle Recognition Model

Published:2024-05-28 Issue: Volume:31 Page:1-6
ISSN:
Container-title:2024 International Conference on Smart Applications, Communications and Networking (SmartNets)
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Author:

Feng Qiuyang¹,Chen Fuxiang²,Feng Xingle²

Affiliation:

1. Emory University,Department of Quantitative Theory & Methods,Atlanta,USA

2. School of Information Engineering, Chang'an University,Xi'an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577635/10577636/10577686.pdf?arnumber=10577686

Reference23 articles.

1. Impact of overloaded vehicles on highway bridge;He;Shanxi Science & Technology of Communications,2020

2. Analysis of off-site law enforcement system for highway overload;Gao;Shandong Science & Technology of Communications,2022

3. Analysis on the application of image forensics technology in superhighway treatment;Sun;China ITS Journal,2023

4. Review of target detection algorithms based on deep learning;Li;Computer & Digital Engineering,2022

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