An Improved YOLOv8 Algorithm for Rail Surface Defect Detection-Reference-Cited by-同舟云学术

An Improved YOLOv8 Algorithm for Rail Surface Defect Detection

Published:2024 Issue: Volume:12 Page:44984-44997
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Yan¹,Zhang Kehua²^ORCID,Wang Ling¹,Wu Lintong²

Affiliation:

1. School of Engineering, Zhejiang Normal University, Jinhua, China

2. Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology and Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua, China

Funder

Science and Technology Planning Project of Jinhua

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10477344.pdf?arnumber=10477344

Reference37 articles.

1. A Review on Rail Defect Detection Systems Based on Wireless Sensors

2. Research on deep learning method for rail surface defect detection

3. Planar electromagnetic tomography for rail flaw detection;Huo;Chin. J. Electr. Eng.,2021

4. Research on the application of nondestructive testing technology in steel structure construction engineering;Hu;Real Estate World,2023

5. A Review of Infrared Thermography for Delamination Detection on Infrastructures and Buildings

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