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Augmented Reality Framework for Retrieving Information of Moving Objects on Construction Sites

Authors :
Linh Nguyen
Htoo Thiri Htet
Yong-Ju Lee
Man-Woo Park
Source :
Buildings, Vol 14, Iss 7, p 2089 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The construction industry is undergoing a digital transformation, with the digital twin serving as a core system for project information. This digital twin provides an opportunity to utilize AR technology for real-time verification of on-site project information. Although many AR developments for construction sites have been attempted, they have been limited to accessing information on stationary components via Building Information Models. There have been no attempts to access information on dynamically changing resources, such as personnel and equipment. This paper addresses this gap by presenting an AR framework that enables site managers to verify real-time information on specific personnel or equipment. It introduces a matching algorithm for retrieving the necessary information from the digital twin. This algorithm is pivotal in identifying and retrieving the specific information needed from the vast dataset within the digital twin. The matching process integrates object detection and tracking algorithms applied to video frames from AR devices, along with GPS and IMU sensor data. Experimental results demonstrate the potential of this matching algorithm to streamline on-site management and reduce the effort required to interact with digital twin information. This paper highlights the transformative potential of AR and digital twin technologies in revolutionizing construction site operations.

Details

Language :
English
ISSN :
20755309
Volume :
14
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Buildings
Publication Type :
Academic Journal
Accession number :
edsdoj.3e14fc1f3abd4c8c9297e9ce199e4685
Document Type :
article
Full Text :
https://doi.org/10.3390/buildings14072089