Vision-based monitoring of railway superstructure: A review

Author:

Aela PeymanORCID,Cai Jiafu,Jing GuoqingORCID,Chi Hung-Lin

Funder

The Hong Kong Polytechnic University

Publisher

Elsevier BV

Reference169 articles.

1. A review on structural health monitoring of railroad track structures using fiber optic sensors;Sasi;Mater. Today.: Proc.,2020

2. C. Nederlof, P. Dings, Monitoring track condition to improve asset management, in: Monitoring Track Condition to improve Asset Management, Internation Union of Railways (UIC), 2010.

3. Development of a machine vision system for the inspection of heavy-haul railway turnout and track components;Hart;Proc. Int. Heavy Haul Assoc. Conf.,2011

4. Application of neural networks in evaluation of railway track quality condition;Sadeghi;J. Mech. Sci. Technol.,2012

5. Development of improved railway track degradation models;Sadeghi;Struct. Infrastruct. Eng.,2010

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