AR Glulam: Accurate Augmented Reality Using Multiple Fiducial Markers for Glulam Fabrication

Fuente: arXiv
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Hauptverfasser: Kyaw, Alexander Htet, Xu, Arvin, Zivkovic, Sasa, Jahn, Gwyllim, Newnham, Cameron, Berg, Nick Van Den
Format: Preprint
Veröffentlicht: 2025
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author Kyaw, Alexander Htet
Xu, Arvin
Zivkovic, Sasa
Jahn, Gwyllim
Newnham, Cameron
Berg, Nick Van Den
author_facet Kyaw, Alexander Htet
Xu, Arvin
Zivkovic, Sasa
Jahn, Gwyllim
Newnham, Cameron
Berg, Nick Van Den
contents Recent advancements in Augmented Reality (AR) have demonstrated applications in architecture, design, and fabrication. Compared to conventional 2D construction drawings, AR can be used to superimpose contextual instructions, display 3D spatial information and enable on-site engagement. Despite the potential of AR, the widespread adoption of the technology in the industry is limited by its precision. Precision is important for projects requiring strict construction tolerances, design fidelity, and fabrication feedback. For example, the manufacturing of glulam beams requires tolerances of less than 2mm. The goal of this project is to explore the industrial application of using multiple fiducial markers for high-precision AR fabrication. While the method has been validated in lab settings with a precision of 0.97, this paper focuses on fabricating glulam beams in a factory setting with an industry manufacturer, Unalam Factory.
format Preprint
id arxiv_https___arxiv_org_abs_2502_08566
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AR Glulam: Accurate Augmented Reality Using Multiple Fiducial Markers for Glulam Fabrication
Kyaw, Alexander Htet
Xu, Arvin
Zivkovic, Sasa
Jahn, Gwyllim
Newnham, Cameron
Berg, Nick Van Den
Emerging Technologies
Computer Vision and Pattern Recognition
Human-Computer Interaction
Recent advancements in Augmented Reality (AR) have demonstrated applications in architecture, design, and fabrication. Compared to conventional 2D construction drawings, AR can be used to superimpose contextual instructions, display 3D spatial information and enable on-site engagement. Despite the potential of AR, the widespread adoption of the technology in the industry is limited by its precision. Precision is important for projects requiring strict construction tolerances, design fidelity, and fabrication feedback. For example, the manufacturing of glulam beams requires tolerances of less than 2mm. The goal of this project is to explore the industrial application of using multiple fiducial markers for high-precision AR fabrication. While the method has been validated in lab settings with a precision of 0.97, this paper focuses on fabricating glulam beams in a factory setting with an industry manufacturer, Unalam Factory.
title AR Glulam: Accurate Augmented Reality Using Multiple Fiducial Markers for Glulam Fabrication
topic Emerging Technologies
Computer Vision and Pattern Recognition
Human-Computer Interaction
url https://arxiv.org/abs/2502.08566