A novel robotic-assisted deep learning-enabled computer vision approach for nondestructive diagnosis of railway bolt faults
Jiang Hua,
Zhen Wang,
Hao Han
et al.
Abstract:Railways play a vital role in the inland transportation system worldwide, and abnormal bolt components at the track joints are the main cause of train accidents. The detection and identification of faults in rail bolt components are of considerable research importance. To address this problem, numerous researchers have opted for computer vision-based methods to accomplish the detection and identification of the target, but the existing methods have poor detection performance diminished detection capabilities w… Show more
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