Detection of Surface Defects on Railway Tracks Based on Deep Learning

The detection of rail surface defects is very important in railway transportation. However, the edge defects on both sides of the rail and the multi-scale variation between different types of defects both pose challenges to the detection of rail surface defects. In order to solve the above problems,...

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Bibliographic Details
Main Authors: Maoli Wang, Kaizhi Li, Xiao Zhu, Yining Zhao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9963529/