Research on Track Fastener Service Status Detection Based on Improved Yolov4 Model

ISSN Print: 2160-0473
ISSN Online: 2160-0481
www.scirp.net/journal/jtts
E-mail: [email protected]

Citations

"Research on Track Fastener Service Status Detection Based on Improved Yolov4 Model"
written by Jing He, Weiqi Wang, Nengpu Yang,
published by Journal of Transportation Technologies, Vol.14 No.2, 2024

has been cited by the following article(s):

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[1]	Real Time Automatic Detection Algorithm for Loose Railway Track Fasteners under Uneven Lighting Conditions SAE Technical Paper Series, 2025 DOI:10.4271/2025-99-0006

[2]	Research on Traffic Dynamic Shortest Path Allocation Model Based on Triangular Fuzzy Number Weight and K-Means Algorithm IEEE Transactions on Intelligent Transportation Systems, 2025 DOI:10.1109/TITS.2024.3521434

[3]	THE OPTIMIZATION OF RAILWAY FASTENER DEFECT DETECTION VIA ACTIVATION FUNCTION ADAPTATIONS Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, 2024 DOI:10.18038/estubtda.1479970