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oapen-20.500.12657-891152024-04-03T02:23:43Z Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site Amin, Khalid Mills, Grant Wilson, Duncan Farghaly, Karim BIM Augmented Reality Positioning thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization 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 2024-04-02T15:47:00Z 2024-04-02T15:47:00Z 2023 chapter ONIX_20240402_9791221502893_84 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89115 eng Proceedings e report application/pdf n/a 9791221502893_17.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_17 Firenze University Press 10.36253/979-12-215-0289-3.17 10.36253/979-12-215-0289-3.17 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 9 Florence open access
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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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