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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Autors principals:	Qianqian Zhou, Zuxiang Situ, Shuai Teng, Weifeng Chen, Gongfa Chen, Jiongheng Su
Format:	Artigo
Idioma:	Inglês
Publicat:	IWA Publishing 2022-03-01
Col·lecció:	Journal of Hydroinformatics
Matèries:	deep learning faster r-cnn object detection sewer defect detection yolo
Accés en línia:	http://jh.iwaponline.com/content/24/2/406
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