Review of Artificial Intelligence Applications for Virtual Sensing of Underground Utilities

Accurately identifying the location and depth of buried utility assets became a considerable challenge in the construction industry, for which accidental strikes can cause important economic losses and safety concerns. While the collection of as-built utility locations is becoming more accurate, the...

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Detalles Bibliográficos
Autores principales: Oguntoye, Kunle S., Laflamme, Simon, Sturgill, Roy, Eisenmann, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181770/
https://www.ncbi.nlm.nih.gov/pubmed/37177570
http://dx.doi.org/10.3390/s23094367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181770/
https://www.ncbi.nlm.nih.gov/pubmed/37177570
http://dx.doi.org/10.3390/s23094367

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