Conference proceeding
Integrating the AR-QR Code Approach with Positioning and Orientation Sensors to Facilitate Deploying Drawings Information on Job Sites
Proceedings of the 41st International Symposium on Automation and Robotics in Construction, ISARC 2024, pp 323-330
2024
Abstract
While general contractors often use tablets to review design and construction information, subcontractors typically rely on paper-based methods. Each of these methods has its own set of advantages and challenges. The AR-QR code approach aims to bridge the gap between paper-based and digital methods, leveraging the power of Augmented Reality (AR) to maintain the benefits of the paper-based approach while circumventing its drawbacks. This approach grants crews direct access to design and construction information by centralizing data and eliminating the need to refer to other drawings and documents. This research study addresses an issue inherent in traditional methods that the AR-QR code approach did not consider. In conventional practices, deploying drawings on-site necessitates that the crews mentally synchronize the drawing's coordination system with the actual job site. Additionally, they must mentally position and orient items to match their actual on-site locations. This process ultimately entails a mental visualization of the items on the job site to ascertain how the designed features correspond with the actual work. Such mentally demanding steps can exacerbate mental strain and increase the risk of errors. This study aims to propose a solution to alleviate this issue by enhancing the capabilities of the AR-QR code approach to facilitate visualization of the drawing's details on the jobsites.
Metrics
1 Record Views
Details
- Title
- Integrating the AR-QR Code Approach with Positioning and Orientation Sensors to Facilitate Deploying Drawings Information on Job Sites
- Creators
- Mohsen Foroughi Sabzevar - University of Southern MississippiMasoud Gheisari - University of North FloridaJames Lo - Drexel University
- Publication Details
- Proceedings of the 41st International Symposium on Automation and Robotics in Construction, ISARC 2024, pp 323-330
- Publisher
- The International Association for Automation and Robotics in Construction
- Number of pages
- 8
- Grant note
- University of Southern Mississippi (http://data.elsevier.com/vocabulary/SciValFunders/100006525) 1562515 / National Sleep Foundation (100003187) 1562515 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Scopus ID
- 2-s2.0-85199599881
- Other Identifier
- 991022202100404721