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Foreign Object Detection in Railway Images Based on an Efficient Two-Stage Convolutional Neural Network
Foreign object intrusion is one of the main causes of train accidents that threaten human life and public property. Thus, the real-time detection of foreign objects intruding on the railway is important to prevent the train from colliding with foreign objects. Currently, the detection of railway for...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441342/ https://www.ncbi.nlm.nih.gov/pubmed/36072735 http://dx.doi.org/10.1155/2022/3749635 |