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oapen-20.500.12657-89116
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dspace
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oapen-20.500.12657-891162024-04-03T02:23:44Z Chapter Visibility Enhancement of Crane Operators Using BIM-Based Diminished Reality Eskandari, Roghieh Motamedi, Ali Diminished Reality (DR) Augmented Reality (AR) Mixed Reality (MR) Crane Visibility Building Information Modelling (BIM) HoloLens Construction industry thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization The limited visibility experienced by crane operators in construction sites poses significant challenges, leading to reduced performance and safety concerns. Obstructive elements, such as existing buildings, construction elements, or vehicles, can block the crane operator's field of view, hindering their ability to execute lifting operations with precision and confidence. To address this issue, this study presents a novel approach using Building Information Modelling (BIM)-based diminished reality (DR) to enhance visibility by dynamically removing obstructive objects from the crane operator's perspective in real-time. The research employs a marker-based registration system that effectively aligns BIM data with the physical environment, ensuring realistic and precise DR visualization. Additionally, a semi-automatic selection method that involves minimal intervention from the user is employed to select desired objects. To generate the background, the system utilizes real-time observation data from occluded areas. A validation through a case study demonstrates the practical applicability of the developed system in real-life construction scenarios 2024-04-02T15:47:02Z 2024-04-02T15:47:02Z 2023 chapter ONIX_20240402_9791221502893_85 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89116 eng Proceedings e report application/pdf n/a 9791221502893_16.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_16 Firenze University Press 10.36253/979-12-215-0289-3.16 10.36253/979-12-215-0289-3.16 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 8 Florence open access
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| institution |
OAPEN
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DSpace
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| language |
English
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| description |
The limited visibility experienced by crane operators in construction sites poses significant challenges, leading to reduced performance and safety concerns. Obstructive elements, such as existing buildings, construction elements, or vehicles, can block the crane operator's field of view, hindering their ability to execute lifting operations with precision and confidence. To address this issue, this study presents a novel approach using Building Information Modelling (BIM)-based diminished reality (DR) to enhance visibility by dynamically removing obstructive objects from the crane operator's perspective in real-time. The research employs a marker-based registration system that effectively aligns BIM data with the physical environment, ensuring realistic and precise DR visualization. Additionally, a semi-automatic selection method that involves minimal intervention from the user is employed to select desired objects. To generate the background, the system utilizes real-time observation data from occluded areas. A validation through a case study demonstrates the practical applicability of the developed system in real-life construction scenarios
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| title |
9791221502893_16.pdf
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| spellingShingle |
9791221502893_16.pdf
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| title_short |
9791221502893_16.pdf
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| title_full |
9791221502893_16.pdf
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| title_fullStr |
9791221502893_16.pdf
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| title_full_unstemmed |
9791221502893_16.pdf
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| title_sort |
9791221502893_16.pdf
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| publisher |
Firenze University Press
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| publishDate |
2024
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| url |
https://books.fupress.com/doi/capitoli/979-12-215-0289-3_16
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1799945242900692992
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