Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Automated Detection and Quantification of Drainage Pipe Cracks in Closed-Circuit Television (CCTV) Images
Closed-circuit television (CCTV) is a common method for drainage pipe inspection, and currently, the interpretation of CCTV images is mostly conducted manually. In this study, an integrated algorithm, namely DeepLab V3 Plus-Crack Length Quantification (DL-CLQ), is proposed to detect and quantify pipe cracks, which combines a semantic segmentation model and the newly developed crack length quantification algorithm. The proposed algorithm is verified by artificially created pipe cracks. In the artificial scenarios, DL-CLQ shows a mIoU higher than based-line models in segmentation, and lower in MSE of crack quantification, which indicates the accuracy of crack quantification depends greatly on the segmentation accuracy. This study provides an innovative method for automatic drainage pipe defect detection and quantification and can also contribute to the further development of smart management for urban drainage networks.
Automated Detection and Quantification of Drainage Pipe Cracks in Closed-Circuit Television (CCTV) Images
Closed-circuit television (CCTV) is a common method for drainage pipe inspection, and currently, the interpretation of CCTV images is mostly conducted manually. In this study, an integrated algorithm, namely DeepLab V3 Plus-Crack Length Quantification (DL-CLQ), is proposed to detect and quantify pipe cracks, which combines a semantic segmentation model and the newly developed crack length quantification algorithm. The proposed algorithm is verified by artificially created pipe cracks. In the artificial scenarios, DL-CLQ shows a mIoU higher than based-line models in segmentation, and lower in MSE of crack quantification, which indicates the accuracy of crack quantification depends greatly on the segmentation accuracy. This study provides an innovative method for automatic drainage pipe defect detection and quantification and can also contribute to the further development of smart management for urban drainage networks.
Automated Detection and Quantification of Drainage Pipe Cracks in Closed-Circuit Television (CCTV) Images
Yang, Chenhao (Autor:in) / Ye, Nian (Autor:in) / Ma, Yiyi (Autor:in)
World Environmental and Water Resources Congress 2024 ; 2024 ; Milwaukee, Wisconsin
16.05.2024
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines
| British Library Online Contents | 2018
Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines
| British Library Online Contents | 2018
| British Library Conference Proceedings | 2003
Automated detection of cracks in buried concrete pipe images
| Online Contents | 2006