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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Veröffentlicht in:	Tunnelling and underground space technology Jg. 143; S. 105480
Hauptverfasser:	Wang, Niannian, Ma, Duo, Du, Xueming, Li, Bin, Di, Danyang, Pang, Gaozhao, Duan, Yihang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2024
Schlagworte:	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-Zugang:	Volltext
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