A Review on Deep Learning Techniques for Railway Infrastructure Monitoring
Author:
Affiliation:
1. Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Bari, Italy
2. Department of Mathematics, University of Bari Aldo Moro, Bari, Italy
Funder
Italian Ministry of Economic Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10233858.pdf?arnumber=10233858
Reference68 articles.
1. Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks
2. Inspection of exterior substance on high-speed train bottom based on improved deep learning method
3. Real-Time Inspection System for Ballast Railway Fasteners Based on Point Cloud Deep Learning
4. Developing Machine Learning-Based Models for Railway Inspection
5. Automatic Fastener Classification and Defect Detection in Vision-Based Railway Inspection Systems
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