Robust Rail-Track Section Identification With Multiple Structured Light Sensors and Kernel-Based Belief Sensor-Credibility Evaluation-Reference-Cited by-同舟云学术

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Robust Rail-Track Section Identification With Multiple Structured Light Sensors and Kernel-Based Belief Sensor-Credibility Evaluation

Published:2024-04-15 Issue:8 Volume:24 Page:13217-13226
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhang Jiaxu¹^ORCID,Wang Shengchun²^ORCID,Liu Kunzhen³,Wang Liang¹^ORCID

Affiliation:

1. School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China

2. Infrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation Ltd., Beijing, China

3. College of Engineering, City University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Development Plan of China State Railway Group Company Ltd.

Development Plan of China Academy of Railway Sciences Corporation Ltd.

Science and Technology Planning Project of Key Laboratory of Advanced IntelliSense Technology, Guangdong Science and Technology Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10500449/10458925.pdf?arnumber=10458925

Reference44 articles.

1. Defect detection method for rail surface based on line-structured light

2. Height deviation detection of rail bearing platform on high-speed railway track slab based on digital image correlation

3. Rail Profile Measurement Based on Line-structured Light Vision

4. Distortion Rectifying for Dynamically Measuring Rail Profile Based on Self-Calibration of Multiline Structured Light

5. A rail wear measurement method based on structured light scanning

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