Autonomous weld seam tracking under strong noise based on feature-supervised tracker-driven generative adversarial network-Reference-Cited by-同舟云学术

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Autonomous weld seam tracking under strong noise based on feature-supervised tracker-driven generative adversarial network

Published:2022-02 Issue: Volume:74 Page:151-167
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Xu Fengjing,Zhang Huajun,Xiao Runquan,Hou Zhen,Chen Shanben

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference23 articles.

1. Autonomous decision making of welding position during multipass GMAW with T-joints: a bayesian network approach;He;IEEE Trans Ind Electron,2021

2. Feature point extraction of laser vision weld seam based on genetic algorithm;Zhang;Chin J Lasers (Chin Ed),2019

3. An adaptive feature extraction algorithm for multiple typical seam tracking based on vision sensor in robotic arc welding;Xiao;Sensors Actuators A Phys,2019

4. Identification of the deviation of seam tracking and weld cross type for the derusting of ship hulls using a wall-climbing robot based on three-line laser structural light;Zhang;J Manuf Process,2018

5. Automatic weld seam tracking of tube-to-tubesheet TIG welding robot with multiple sensors;Lei;J Manuf Process,2021

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1. A novel laser stripe key point tracker based on self-supervised learning and improved KCF for robotic welding seam tracking;Journal of Manufacturing Processes;2024-10

2. A lightweight deep learning method for real-time weld feature extraction under strong noise;Signal, Image and Video Processing;2024-08-02

3. A vibration-resistant detection method of weld position and gap for seam tracking of Z-weave GMAW;The International Journal of Advanced Manufacturing Technology;2024-06-13

4. Real-time weld seam feature extraction in construction sites;Automation in Construction;2024-04

5. A vibration-resistant detection method of position and gap for seam tracking of Z-weave GMAW;2024-01-19

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