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Data augmentation using generative models for track intrusion detection
The objective of this work is to address the problem of detecting track intruders in railway systems using deep learning-based algorithms. Unauthorized entry onto railway tracks poses a significant risk of collisions between trains and humans. However, intrusion discrimination algorithms often suffe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644764/ https://www.ncbi.nlm.nih.gov/pubmed/37956652 http://dx.doi.org/10.1177/00368504231212769 |