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        <title type="main" level="a">Adapting BIM-Based AR Positioning Techniques to the Construction Site</title>
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          <persName n="1" ref="https://orcid.org/0000-0002-9705-5280" type="ORCID">
            <forename>Khalid</forename>
            <surname>Amin</surname>
            <placeName type="affiliation">University College London, United Kingdom</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0002-3792-7227" type="ORCID">
            <forename>Grant</forename>
            <surname>Mills</surname>
            <placeName type="affiliation">University College London, United Kingdom</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0001-6041-8044" type="ORCID">
            <forename>Duncan</forename>
            <surname>Wilson</surname>
            <placeName type="affiliation">University College London, United Kingdom</placeName>
          </persName>
          <persName n="4" ref="https://orcid.org/0000-0003-0717-7434" type="ORCID">
            <forename>Karim</forename>
            <surname>Farghaly</surname>
            <placeName type="affiliation">University College London, United Kingdom</placeName>
          </persName>
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          <resp>This is a section of <title>CONVR 2023 - Proceedings of the 23rd International Conference on  Construction Applications of Virtual Reality </title>(DOI: <idno type="DOI">10.36253/979-12-215-0289-3</idno>) by </resp>
          <name>Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi</name>
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        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2023">2023</date>
        <idno type="DOI">https://doi.org/10.36253/10.36253/979-12-215-0289-3.17</idno>
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          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
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            <p>Content licence CC BY-NC 4.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>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</p>
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            <item>BIM</item>
            <item>Augmented Reality</item>
            <item>Positioning</item>
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      <p>It is available online at https://doi.org/10.36253/10.36253/979-12-215-0289-3.17<ref target="https://doi.org/10.36253/10.36253/979-12-215-0289-3.17" /></p>
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