Comparison of classic object-detection techniques for automated sewer defect detection

Comparison of classic object-detection techniques for automated sewer defect detection

Sewer systems play a key role in cities to ensure public assets and safety. Timely detection of defects can effectively alleviate system deterioration. Conventional manual inspection is labor-intensive, error-prone and expensive. Object detection is a powerful deep learning technique that can comple...

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Bibliographic Details
Main Authors: Qianqian Zhou, Zuxiang Situ, Shuai Teng, Weifeng Chen, Gongfa Chen, Jiongheng Su
Format: Article
Language:English
Published: IWA Publishing 2022-03-01
Series:Journal of Hydroinformatics
Subjects:
deep learning
faster r-cnn
object detection
sewer defect detection
yolo
Online Access:http://jh.iwaponline.com/content/24/2/406

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http://jh.iwaponline.com/content/24/2/406

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