CNN-based Feature Extraction for Robotic Laser Scanning of Weld Grooves in Tubular T-joints-Reference-Cited by-同舟云学术

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CNN-based Feature Extraction for Robotic Laser Scanning of Weld Grooves in Tubular T-joints

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth IEEE International Conference on Robotic Computing (IRC)
language:
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Author:

Mjolhus Oyvind W.¹,Cibicik Andrej²,Njaastad Eirik B.²,Egeland Olav¹

Affiliation:

1. Norwegian University of Science and Technology (NTNU),Dept. of Mechanical and Industrial Engineering,Trondheim,Norway

2. SINTEF Manufacturing,Dept. of Production Technology,Trondheim,Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10023545/10022323/10023769.pdf?arnumber=10023769

Reference20 articles.

1. A structured light vision sensor for on-line weld bead measurement and weld quality inspection

2. Automatic Welding Seam Tracking and Identification

3. The decoupling visual feature extraction of dynamic three-dimensional V-type seam for gantry welding robot

4. A study on the modified Hough algorithm for image processing in weld seam tracking

5. Polarization Image Laser Line Extraction Methods for Reflective Metal Surfaces

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