Water Level Estimation in Sewer Pipes Using Deep Convolutional Neural Networks

Water Level Estimation in Sewer Pipes Using Deep Convolutional Neural Networks

Sewer pipe inspections are currently conducted by professionals who remotely control a robot from above ground. This expensive and slow approach is prone to human mistakes. Therefore, there is both an economic and scientific interest in automating the inspection process by creating systems able to r...

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Bibliographic Details
Main Authors: Joakim Bruslund Haurum, Chris H. Bahnsen, Malte Pedersen, Thomas B. Moeslund
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Water
Subjects:
sewer pipes
convolutional neural networks
random forests
water level
sewer inspection standards
Online Access:https://www.mdpi.com/2073-4441/12/12/3412

Internet

https://www.mdpi.com/2073-4441/12/12/3412

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