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Application of Deep Learning Networks to Segmentation of Surface of Railway Tracks
The article presents a vision system for detecting elements of railway track. Four types of fasteners, wooden and concrete sleepers, rails, and turnouts can be recognized by our system. In addition, it is possible to determine the degree of sleeper ballast coverage. Our system is also able to work w...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231582/ https://www.ncbi.nlm.nih.gov/pubmed/34204812 http://dx.doi.org/10.3390/s21124065 |