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A Defect Detection Method for Rail Surface and Fasteners Based on Deep Convolutional Neural Network
As a result of long-term pressure from train operations and direct exposure to the natural environment, rails, fasteners, and other components of railway track lines inevitably produce defects, which have a direct impact on the safety of train operations. In this study, a multiobject detection metho...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352690/ https://www.ncbi.nlm.nih.gov/pubmed/34381497 http://dx.doi.org/10.1155/2021/2565500 |