UAVs in rail damage image diagnostics supported by deep-learning networks

The article uses images from Unmanned Aerial Vehicles (UAVs) for rail diagnostics. The main advantage of such a solution compared to traditional surveys performed with measuring vehicles is the elimination of decreased train traffic. The authors, in the study, limited themselves to the diagnosis of...

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Autores principales: Bojarczak Piotr, Lesiak Piotr
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2021
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Acceso en línea:https://doaj.org/article/2a33549a014840ab92eb6c05f2fd0437
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