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Rail track condition monitoring: a review on deep learning approaches
2021
Intelligence & Robotics
Rail track is a critical component of rail systems. Accidents or interruptions caused by rail track anomalies usually possess severe outcomes. Therefore, rail track condition monitoring is an important task. Over the past decade, deep learning techniques have been rapidly developed and deployed. In the paper, we review the existing literature on applying deep learning to rail track condition monitoring. Potential challenges and opportunities are discussed for the research community to decide on
doi:10.20517/ir.2021.14
fatcat:7a7p6nqvtre4thatkaqb76asn4