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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Detalles Bibliográficos
Autores principales: Gao, Ang, Fan, Zhuoxuan, Li, Anning, Le, Qiaoyue, Wu, Dongting, Du, Fuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301933/
https://www.ncbi.nlm.nih.gov/pubmed/37420805
http://dx.doi.org/10.3390/s23125640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301933/
https://www.ncbi.nlm.nih.gov/pubmed/37420805
http://dx.doi.org/10.3390/s23125640

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