Rail Fastener Fault Detection Based on Enhanced YOLOv7 Model
Author:
Affiliation:
1. Thiagarajar College of Engineering,Madurai,India
2. Noorul Islam Centre for Higher Education,Kumaracoil,India
Funder
Thiagarajar College of Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244767/10244778/10245076.pdf?arnumber=10245076
Reference12 articles.
1. Railway Track Fasteners Fault Detection using Deep Learning
2. The tectum/superior colliculus as the vertebrate solution for spatial sensory integration and action
3. Missing small fastener detection using deep learning;xiao;IEEE Transactions on Instrumentation and Measurement,2020
4. An optimized railway fastener detection method based on modified Faster R-CNN
5. A comprehensive bibliometric analysis of signal processing and pattern recognition based on distributed optical fiber;zhu;Measurement,2022
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