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Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site
Amin, Khalid, Mills, Grant, Wilson, Duncan, Farghaly, Karim

Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site

Humanities & Social Sciences Published 2024 Verification Pending

Overview & Synopsis

While Building Information Modelling (BIM) can support the management and visualisation of construction projects, Augmented Reality (AR) holds great promise to enhance interaction with these complex models. The accurate positioning of BIM-AR models in construction sites is critical to ensure that the virtual and real-world environments are correctly aligned. Through a literature review, this paper presents a review of state-of-the-art positioning techniques. It explores the different techniques used to position BIM-AR models and understands the interconnections and differences between them, with an emphasis on their applicability to the construction industry. The review also explores the challenges and limitations of each technique, in terms of the trade-offs between accuracy, computational efficiency, and robustness in varying environments. By providing an overview of positioning techniques in BIM-AR, this paper aims to guide researchers and practitioners in assessing the suitability of these techniques in the context of construction sites. The insights gained from this review may inform the development of efficient BIM-AR platforms that are more aligned with the dynamic and complex nature of construction sites

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Document Information

Document Title Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site
Author / Organization Amin, Khalid, Mills, Grant, Wilson, Duncan, Farghaly, Karim
Subject & Discipline BIM
Categories Humanities & Social Sciences
Publication Year 2024
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website OAPEN Library (www.oapen.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-180326
Original Source Link Visit Source Page on www.oapen.org »