Towards the Integration of Image-Based Appearance Information into BIM

Mengiste, Eyob; Soto, Borja García de; Hartmann, T.

doi:10.1061/9780784483893.054

Cited by 3 publications

(1 citation statement)

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“…In scientific publications [2][3][4] the authors consider SfM systems when resolving problems by building three-dimensional models from a point cloud using photometry or videometry. Scientists list a wide variety of uses for SfM systems, such as simulating worker evacuation from a construction site to visualize the site's actual condition, reducing variance between planned and actual conditions, and creating an "as-built" model of an object based on an image of it for reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Information system of multi-stage analysis of the building of object models on a construction site

Dolhopolov,

Honcharenko,

Terentyev

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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This study focuses on the development of a multi-stage analysis of building object models (BOM) on a construction site for modeling an “evolutionary” digital twin, by integrating building information modeling (BIM) technology and an artificial intelligence system. The concepts of photo modeling of the construction site using a group of moving cameras were outlined, as well as the possibility of integrating IoT technologies. The dynamic transition of real building structures into intermediate BIM representations of digital twins was investigated, with the prospect of enabling augmented reality technology. An artificial intelligence system combining Convolutional Neural Network (CNN) and Feed Forward Neural Network (FFNN) architectures has been developed as a comprehensive mechanism for the detection, categorization, and evaluation of BIM projects at all stages of their life cycle. The paper addresses the scaling prospects for the development of point cloud and mesh models, as well as the use of big data technology while optimizing the representation of the “evolutionary” BIM project of the digital twin of the construction site. The effectiveness of site conformance detection during the step-by-step construction of a BIM model, which shows consistency and provides a quantitative assessment of the processes occurring on the site, has been determined. The results of this research can be used to improve BIM modeling methods and concepts, in particular towards a multi-stage “evolutionary” representation of the digital twin of the construction site.

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Section: Introductionmentioning

confidence: 99%