Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site
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 th...
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| Format: | Online |
| Sprog: | engelsk |
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Firenze University Press
2024
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| Online adgang: | ONIX_20240402_9791221502893_84 |
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| _version_ | 1869526984148647936 |
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| author | Amin, Khalid Mills, Grant Wilson, Duncan Farghaly, Karim |
| author_browse | Amin, Khalid Farghaly, Karim Mills, Grant Wilson, Duncan |
| author_facet | Amin, Khalid Mills, Grant Wilson, Duncan Farghaly, Karim |
| author_sort | Amin, Khalid |
| collection | Directory of Open Access Books |
| description | 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 |
| format | Online |
| id | doab-20.500.12854ir-137184 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1371842024-05-12T18:42:21Z 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 2024-05-12T18:42:19Z 2024-05-12T18:42:19Z 2024-04-02T15:47:00Z 2023 chapter ONIX_20240402_9791221502893_84 2704-5846 https://library.oapen.org/handle/20.500.12657/89115 9791221502893 https://directory.doabooks.org/handle/20.500.12854/137184 eng Proceedings e report open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/89115/1/9791221502893_17.pdf Firenze University Press 10.36253/979-12-215-0289-3.17 10.36253/979-12-215-0289-3.17 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221502893 9 Florence open access |
| spellingShingle | BIM Augmented Reality Positioning thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Amin, Khalid Mills, Grant Wilson, Duncan Farghaly, Karim Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site |
| title | Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site |
| title_full | Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site |
| title_fullStr | Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site |
| title_full_unstemmed | Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site |
| title_short | Chapter Adapting BIM-Based AR Positioning Techniques to the Construction Site |
| title_sort | chapter adapting bim based ar positioning techniques to the construction site |
| topic | BIM Augmented Reality Positioning thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization |
| topic_facet | BIM Augmented Reality Positioning thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization |
| url | ONIX_20240402_9791221502893_84 |
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