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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Bibliographic Details

Published in:	Tunnelling and underground space technology Vol. 143; p. 105480
Main Authors:	Wang, Niannian, Ma, Duo, Du, Xueming, Li, Bin, Di, Danyang, Pang, Gaozhao, Duan, Yihang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2024
Subjects:	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
Online Access:	Get full text
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