An Investigation of Railway Fastener Detection Using Image Processing and Augmented Deep Learning

The rail fastening system forms an indispensable part of the rail tracks and needs to be periodically inspected to ensure safe, reliable and sustainable rail operations. Automated visual inspection has gained significant importance for fastener inspection in recent years. Position accuracy, robustne...

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Bibliographic Details
Main Authors: Praneeth Chandran, Johnny Asber, Florian Thiery, Johan Odelius, Matti Rantatalo
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
Online Access:https://doaj.org/article/ee7a14531d014f3995e8c856b3065575
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