YOLO-Weld: A Modified YOLOv5-Based Weld Feature Detection Network for Extreme Weld Noise

YOLO-Weld: A Modified YOLOv5-Based Weld Feature Detection Network for Extreme Weld Noise

Weld feature point detection is a key technology for welding trajectory planning and tracking. Existing two-stage detection methods and conventional convolutional neural network (CNN)-based approaches encounter performance bottlenecks under extreme welding noise conditions. To better obtain accurate...

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Bibliographic Details
Main Authors: Ang Gao, Zhuoxuan Fan, Anning Li, Qiaoyue Le, Dongting Wu, Fuxin Du
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
intelligent robotic welding
laser visual sensor
feature extraction
structured-light vision
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/23/12/5640

Internet

https://www.mdpi.com/1424-8220/23/12/5640

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