Multiscale Variational Autoencoder Aided Convolutional Neural Network for Pose Estimation of Tunneling Machine Using a Single Monocular Image
IEEE Transactions on Industrial Informatics(2022)
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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