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Multiscale Variational Autoencoder Aided Convolutional Neural Network for Pose Estimation of Tunneling Machine Using a Single Monocular Image

IEEE Transactions on Industrial Informatics(2022)

Cited 4|Views6
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Abstract
With the rising demand of underground construction, intelligent tunneling techniques have been increasingly studied to improve the safety and efficiency of construction. The self-positioning technology of tunneling machines is the cornerstone of intelligent tunneling, which is particularly challenging due to the extreme environments of the underground tunnels. In this article, a novel robust and r...
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Key words
Tunneling,Cameras,Pose estimation,Location awareness,Feature extraction,Deep learning,Convolutional neural networks
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