An Identification and Localization Method for 3D Workpiece Welds Based on the DBSCAN Point Cloud Clustering Algorithm

With the development of robotic welding automation, there is a strong interest in welding seam identification and localization methods with high accuracy, real-time performance, and robustness. This paper proposed a 3D workpiece weld identification and localization method based on DBSCAN (density-ba...

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Bibliografische gegevens

Hoofdauteurs:	Nian Zhou, Ping Jiang, Shiliang Jiang, Leshi Shu, Xiaoxian Ni, Linjun Zhong
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-12-01
Reeks:	Journal of Manufacturing and Materials Processing
Onderwerpen:	point cloud clustering joint gap detection welding seam extraction weld planning welding
Online toegang:	https://www.mdpi.com/2504-4494/8/6/287
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