AI-based General Visual Inspection of Aircrafts Based on YOLOv5
Author:
Affiliation:
1. Northeastern University,Khoury College of Computer Sciences,Vancouver,BC,Canada
2. British Columbia Institute of Technology,Vancouver,BC,Canada
Funder
Mitacs
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10288628/10288648/10288696.pdf?arnumber=10288696
Reference18 articles.
1. Remote enhanced visual inspection of aircraft by a mobile robot;siegel;Proc of the 1998 IEEE Workshop on Emerging Technologies Intelligent Measurement and Virtual Systems for Instrumentation and Measurement (ETIMVIS’98),1998
2. Aircraft visual inspection: A systematic literature review
3. You Only Look Once: Unified, Real-Time Object Detection
4. A study on detecting drones using deep convolutional neural networks
5. Aircraft fuselage defect detection using deep neural networks;malekzadeh,2017
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