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Journal ArticleDOI

A framework for in-situ geometric data acquisition using laser scanning for BIM modelling

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TLDR
A full-fledged laser scanning framework for geometric data acquisition, comprising the entire spectrum from planning, surveying and data analysis is introduced, that details the necessary steps to acquire a point cloud that is applicable to BIM modelling.
Abstract
Laser scanning, as a rising topic within the Architecture, Engineering and Construction (AEC) industry, has been increasing both in importance and practice as a means of gathering in-situ geometric data. Several studies have covered possible applications of this technology, from construction monitoring to damage assessment, with Building Information Modelling (BIM) being one of its focus. Despite this, to present, no research was found to fully explore the laser scanning survey process, with most studies either focusing the process after the point cloud acquisition or after its conversion to BIM. To help fill this knowledge gap, the present article introduces a full-fledged laser scanning framework for geometric data acquisition, comprising the entire spectrum from planning, surveying and data analysis. The result is a framework that details the necessary steps to acquire a point cloud that is applicable to BIM modelling. The framework is validated through its application to a recently renewed bus station in Porto, Portugal. Relevant conclusions regarding setting selection, station positioning, optimization, point cloud decimation and treatment, required resolution, along other topics, are drawn through laboratory tests and the previously mentioned case study.

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Citations
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Digital twin-based progress monitoring management model through reality capture to extended reality technologies (DRX)

TL;DR: The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.
Journal ArticleDOI

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

TL;DR: In this article, the authors explored the impact of BIM drivers and awareness on the project lifecycle using Structural Equation Modelling (SEM) using primary questionnaire data obtained from 90 construction professionals in Lagos, Nigeria.
Journal ArticleDOI

Modelling the relationship between Building Information Modelling (BIM) implementation barriers, usage and awareness on building project lifecycle

TL;DR: In this paper, the authors investigated the influence of BIM barriers on awareness of building project during the project lifecycle and found that eliminating BIM barrier has a minor impact on sufficient knowledge throughout the building project lif cycle.
Journal ArticleDOI

Improving project communication in the architecture, engineering and construction industry: Coupling virtual reality and laser scanning

TL;DR: This article proposes a workflow for the improvement of communication in construction projects, in particular between professionals who lack specific BIM skills, by coupling laser scanning and Virtual Reality (VR) within a Building Information Modelling (BIM) work environment.
Journal ArticleDOI

Building condition assessment supported by Building Information Modelling

TL;DR: This research application highlights the importance of BIM role in buildings' Facility Management, allowing the model's permanent update of information, in this case for BCA purposes, which has high potential to prioritize the building maintenance actions, extending its materials service life, which contribute to attain a sustainable built environment.
References
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Book

BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors

TL;DR: The Building Information Modeling (BIM) is a new approach to design, construction, and facility management in which a digital representation of the building process is used to facilitate the exchange and interoperability of information in digital format as mentioned in this paper.
Book

Computer Vision

TL;DR: Computer Vision presents the necessary theory and techniques for students and practitioners who will work in fields where significant information must be extracted automatically from images, a useful resource book for professionals and a core text for both undergraduate and beginning graduate computer vision and imaging courses.
Journal ArticleDOI

Building information modelling framework: A research and delivery foundation for industry stakeholders

TL;DR: This paper explores some of the publicly available international guidelines and introduces the BIM Framework, a research and delivery foundation for industry stakeholders, and identifies and deploys visual knowledge models and a specialised ontology to represent domain concepts and their relations.
Book ChapterDOI

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

TL;DR: This paper presents RGB-D Mapping, a full 3D mapping system that utilizes a novel joint optimization algorithm combining visual features and shape-based alignment to achieve globally consistent maps.
Journal ArticleDOI

Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques

TL;DR: This article surveys techniques developed in civil engineering and computer science that can be utilized to automate the process of creating as-built BIMs and outlines the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
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