Automatic Railroad Track Components Inspection Using Hybrid Deep Learning Framework
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DOI: 10.1109/tim.2023.3265636
Abstract: Regular inspections on track components, such as the clip, spike, and rail, are essential to maintain track quality and ensure railroad operating safety. Unfortunately, traditional image processing (IP)-based systems have limited accuracy. Existing convolutional neural… read more here.
Keywords: track components; components inspection; detection; track ... See more keywords