Reality Capture of Buildings Using 3D Laser Scanners

Almukhtar, Avar; Saeed, Zaid O.; Abanda, Fonbeyin Henry; Tah, J.H.M.

doi:10.3390/civileng2010012

Cited by 38 publications

(24 citation statements)

References 35 publications

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“…For this case, Reality Capture was chosen to create an interactive 3D model. Reality Capture is the name for the software that gather precise data about an already existing environment (Almukhtar et al, 2021). Reality Capture uses a photogrammetry software developed for the purpose of creating 3D models of an existing indoor environment from camera photos or laser scans.…”

Section: Model Generation With Reality Capturementioning

confidence: 99%

Showcasing the First Steps Towards a Digital Twin for Campus Environments

et al. 2022

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This paper presents a path towards the implementation of a Digital Twin for campus environments. The main purpose of the Digital Twin is to accomplish an advanced analytical tool, which supports building owners, building operators and building users to reach an improved performance of the building. Digital Twins is new to the building and the real estate industry, hence research within this field is scarce. This paper contributes to the research by providing a methodology to implement a Digital Twin of an existing building stock of campus areas in Sweden. The main results obtained so far are presented. They indicate that the potential of a Digital Twin expands beyond the aspects of a navigational digital 3D model, including a state-of-the-art app that is developed from the Digital Twin platform.

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Section: Model Generation With Reality Capturementioning

confidence: 99%

Showcasing the First Steps Towards a Digital Twin for Campus Environments

et al. 2022

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“…Similarly, Eastman, et al [55] mentioned monitoring, modelling and fabrication as the major uses of BIM. The 3D models contain essential data related to building projects essential for BIM procedures, far better than usual construction methods [56]. BIM techniques deliver the chance to organize project data, such as building geometry, and construction typology that can be used in creating informed decisions [57,58].…”

Section: Construction Stagementioning

confidence: 99%

“…BIM techniques deliver the chance to organize project data, such as building geometry, and construction typology that can be used in creating informed decisions [57,58]. Consequently, BIM represents an effective tool for obtaining an accurate model that reflects the "as-is condition" or "as-built" condition in a project [56]. Currently, key technological advances enabled detailed three-dimensional (3D) models to illustrate the "as-is condition" of buildings projects [59,60].…”

Section: Construction Stagementioning

confidence: 99%

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Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle

et al. 2021

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The Architecture, Engineering, Construction and Operations (AECO) industry is generally slow in adopting emerging technologies, and such hesitance invariably restricts performance improvements. A plethora of studies have focused on the barriers, Critical Success Factors (CSFs), lifecycle and drivers independently, but none have explored the impact of BIM drivers and awareness on the project lifecycle. This study empirically explored the impact of BIM drivers and awareness on the project lifecycle using Structural Equation Modelling (SEM). Initially, a conceptual model was developed from an extensive literature review. Thereafter, the model was tested using primary questionnaire data obtained from 90 construction professionals in Lagos, Nigeria. Emergent findings indicate that Building Information Modelling (BIM) drivers have a high impact on BIM awareness at the operation stage of the project lifecycle. The SEM model has an average R2 value of 23% which is moderate. Consequently, this research contributes to the existing body of knowledge by providing invaluable insight into the impact of BIM drivers on BIM awareness in the project lifecycle. Knowledge acquired will help industry stakeholders and government to develop appropriate policies to increase BIM uptake within contemporary practice.

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“…This is why the intensity value is highly dependent on the material and surface characteristics of the dataset. This information can be used not only to classify and filter lidar points [22], but also to develop a model study for detecting crack information in building walls [23] and pavement lines [24], and for monitoring in building construction [25,26]. As for the position information (XYZ), this can be used as an index to align and select the coordinate location of the color and intensity values in the dataset.…”

Section: Introduction 1general Backgroundmentioning

confidence: 99%

Investigating Surface Fractures and Materials Behavior of Cultural Heritage Buildings Based on the Attribute Information of Point Clouds Stored in the TLS Dataset

et al. 2022

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To date, the potential development of 3D laser scanning has enabled the capture of high-quality and high-precision reality-based datasets for both research and industry. In particular, Terrestrial Laser Scanning (TLS) technology has played a key role in the documentation of cultural heritage. In the existing literature, the geometric properties of point clouds are still the main focus for 3D reconstruction, while the surface performance of the dataset is of less interest due to the partial and limited analysis performed by certain disciplines. As a consequence, geometric defects on surface datasets are often identified when visible through physical inspection. In response to that, this study presents an integrated approach for investigating the materials behavior of heritage building surfaces by making use of attribute point cloud information (i.e., XYZ, RGB, reflection intensity). To do so, fracture surface analysis and material properties are computed to identify vulnerable structures on the existing dataset. This is essential for architects or conservators so that they can assess and prepare preventive measures to minimize microclimatic impacts on the buildings.

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Reality Capture of Buildings Using 3D Laser Scanners

Cited by 38 publications

References 35 publications

Showcasing the First Steps Towards a Digital Twin for Campus Environments

Showcasing the First Steps Towards a Digital Twin for Campus Environments

Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle

Investigating Surface Fractures and Materials Behavior of Cultural Heritage Buildings Based on the Attribute Information of Point Clouds Stored in the TLS Dataset

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