A Pipe Defect Localization Method for Robotic Repair Manipulation
Author:
Affiliation:
1. Shandong University,School of Control Science and Engineering,Jinan,China
2. Shandong Jianzhu University,School of Information and Electrical Engineering,Jinan,China
3. CITIC HIC Kaicheng Intelligence Equipment Co., Ltd.,,Tangshan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10011626/10011636/10011678.pdf?arnumber=10011678
Reference19 articles.
1. A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects
2. Mixed supervision for surface-defect detection: From weakly to fully supervised learning;boži?;Computers in Industry,2021
3. Deep Learning Based Steel Pipe Weld Defect Detection
4. Surface defect detection: Dataset and papers,0
5. Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
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