ViRFD: a virtual-realistic fused dataset for rock size analysis in TBM construction

In TBM (Tunnel Boring Machine) construction process, the rock size analysis system plays an important role in assisting driving. Its core algorithm is based on semantic segmentation, and it brings challenges to dataset acquisition in real applications. To relieve this problem, this paper proposes a...

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Veröffentlicht in:	Neural computing & applications 2022-08, Vol.34 (16), p.13485-13498
Hauptverfasser:	Xue, Zhenfeng, Chen, Liang, Liu, Zhitao, Liu, Yong, Mao, Weijie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Boring machines Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Datasets Drilling & boring machinery Image Processing and Computer Vision Learning Original Article Probability and Statistics in Computer Science Semantic segmentation Simulation Tunnel construction
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