Framework and Case Studies for Context-Aware AR System (CaARS) for Ubiquitous Applications in the AEC Industry
Publication: Construction Research Congress 2022
ABSTRACT
Augmented Reality (AR) systems can be used for different purposes in the AEC industry, including augmentation of physical environments with virtual objects that enhances information understanding and delivery. Previous research developed single-purpose solutions with limited context identification. Broad context identification and holistic AR application across industry stages and stakeholders is lacking. This article presents a prototype framework for an intelligent Context-aware AR System (CaARS) to enable broader applications in the AEC industry. The framework considers novel enablers, including multi-object scanning, a model slicer for customizing a single 3D model, using anamorphic images for object recognition, and an interactive user interface. The framework was analyzed for three case studies that represent various applications of CaARS in the industry. Unlike previous single-purpose AR applications in the industry, the approach described in this article seeks to address the multiple scenarios where AR augmentation serves to increase design and cognitive understanding, decision-making, and task support.
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Construction Research Congress 2022
Pages: 1278 - 1288
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Published online: Mar 7, 2022
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