An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds

Discovering seepage is widely thought to be critical for maintaining the healthy conditions of the tunnel. Unfortunately, most of the seepage surveys are still manual with tedious, time-consuming, and inefficient as well as work-related physical injuries. To address this problem, this research propo...

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Vydáno v:	Automation in construction Ročník 137; s. 104187
Hlavní autoři:	Ji, Ankang, Chew, Alvin Wei Ze, Xue, Xiaolong, Zhang, Limao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.05.2022 Elsevier BV
Témata:	3D tunnel point-clouds Coders Data processing Deep learning Encoder-decoder Encoders-Decoders Feature extraction Image segmentation Machine learning Multi-class object segmentation Seepage Segmentation Teaching methods Three dimensional models Tunnels Deep learning 3D tunnel point-clouds Multi-class object segmentation Segmentation Encoder-decoder
ISSN:	0926-5805, 1872-7891
On-line přístup:	Získat plný text
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