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            Chapter Visibility Enhancement of Crane Operators Using BIM-Based Diminished Reality

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            Author(s)
            Eskandari, Roghieh
            Motamedi, Ali
            Language
            English
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            Abstract
            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
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/168500
            Keywords
            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
            DOI
            10.36253/979-12-215-0289-3.16
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            8
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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