An automatic defect classification and segmentation method on three-dimensional point clouds for sewer pipes

•An 3D inspection method on point clouds for pipe defects was proposed.•The network structure was optimized to improve the inspection accuracy.•The training strategies were improved to stabilize training and avoid overfitting.•Two data augmentation methods are used to facilitate training. With the d...

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Vydané v:	Tunnelling and underground space technology Ročník 143; s. 105480
Hlavní autori:	Wang, Niannian, Ma, Duo, Du, Xueming, Li, Bin, Di, Danyang, Pang, Gaozhao, Duan, Yihang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2024
Predmet:	3D segmentation Deep learning Defect inspection Point cloud Sewer pipeline Deep learning 3D segmentation Point cloud Sewer pipeline Defect inspection
ISSN:	0886-7798, 1878-4364
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