Foreign object detection for railway ballastless trackbeds: A semisupervised learning method
Measurement(2022)
Abstract
•Detect foreign objects on ballastless trackbed with semisupervised learning.•Develop an enhanced deep SVDD model for the detection.•Devise a Mask R-CNN algorithm to segment and extract rail and fastener areas.•Analyze the performance of deep SVDD with many image preprocessing methods.
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Key words
Foreign object detection,Ballastless trackbed,Semisupervised learning,Deep learning,Convolutional neural networks
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