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...
Main Authors: | Kunle S. Oguntoye, Simon Laflamme, Roy Sturgill, David J. Eisenmann |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/9/4367 |
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