Reality Capture Technologies for Automated Quality Control during Construction 3D Printing-Reference-Cited by-同舟云学术

Reality Capture Technologies for Automated Quality Control during Construction 3D Printing

Published:2024-01-25 Issue: Volume:33 Page:361-370
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Martin Michael¹²³,Banijamali Kasra¹²³,Kazemian Ali¹²³

Affiliation:

1. Division of Electrical and Computer Engineering, Louisiana State Univ., Baton Rouge, LA.

2. Bert S. Turner Dept. of Construction Management, Louisiana State Univ., Baton Rouge, LA.

3. Bert S. Turner Dept. of Construction Management and Division of Electrical and Computer Engineering, Louisiana State Univ., Baton Rouge, LA. ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.044

Reference12 articles.

1. Boehler W. M. Vicent and A. Marbs. 2003. Investigating laser scanner accuracy. Proc. CIPA XIXth Int. Symposium. 34.

2. Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection;Davtalab O.;Journal of Intelligent Manufacturing,2022

3. A Cross-Correction Lidar Slam Method for High-Accuracy 2D Mapping of Problematic Scenario;Jia S.;ISPRS Journal of Photogrammetry and Remote Sensing,2021

4. Computer vision for real-time extrusion quality monitoring and control in robotic construction

5. Cementitious materials for construction-scale 3D printing: Laboratory testing of fresh printing mixture

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated strength monitoring of 3D printed structures via embedded sensors;Automation in Construction;2024-10

2. 3D printed sulfur-regolith concrete performance evaluation for waterless extraterrestrial robotic construction;Automation in Construction;2024-09