Journal ArticleDOI
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
TLDR
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.About:
This article is published in Automation in Construction.The article was published on 2010-11-01. It has received 789 citations till now. The article focuses on the topics: Information model & Computer Aided Design.read more
Citations
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Journal ArticleDOI
Building Information Modeling (BIM) for existing buildings — Literature review and future needs
TL;DR: Results show scarce BIM implementation in existing buildings yet, due to challenges of (1) high modeling/conversion effort from captured building data into semantic BIM objects, (2) updating of information in BIM and (3) handling of uncertain data, objects and relations in B IM occurring inexisting buildings.
Journal ArticleDOI
Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system
Sebastian Siebert,Jochen Teizer +1 more
TL;DR: The performance evaluation of a UAV system that was built to rapidly and autonomously acquire mobile three-dimensional mapping data and its execution for the generation of 3D point clouds from digital mobile images is presented.
Journal ArticleDOI
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
TL;DR: This work reviews the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.
Journal ArticleDOI
BIM implementation throughout the UK construction project lifecycle: An analysis
TL;DR: This research demonstrates via 92 responses from a sample of BIM users that collaboration aspects produce the highest positive impact and is most often used in the early stages with progressively less use in the latter stages.
Journal ArticleDOI
Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data
TL;DR: A method to automatically convert the raw 3D point data from a laser scanner positioned at multiple locations throughout a facility into a compact, semantically rich information model that is capable of identifying and modeling the main visible structural components of an indoor environment despite the presence of significant clutter and occlusion.
References
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Journal ArticleDOI
Construction and optimization of CSG representations
Vadim Shapiro,Donald L. Vossler +1 more
TL;DR: A general approach to B-rep to CSG conversion based on a partition of Euclidean space by surfaces induced from a B- rep, and on the well known fact that closed regular sets and regularized set operations form a Boolean algebra is presented.
Proceedings ArticleDOI
Invariant-based registration of surface patches
TL;DR: This paper proposes a technique to perform the necessary, precise registration automatically for Euclidean and affine transformations between parts, based on the extraction and invariant characterisation of bitangent curve pairs.
Proceedings ArticleDOI
MUSE: robust surface fitting using unbiased scale estimates
TL;DR: A new operator, called MUSE (Minimum Unbiased Scale Estimator), evaluates a hypothesized fit over potential inlier sets via an objective function of unbiased scale estimates, and extracts the single best fit from the data by minimizing its objective function over a set of hypothesized fits.
Extracting windows from terrestrial laser scanning
Shi Pu,George Vosselman +1 more
TL;DR: In this article, the authors describe an approach to automatically extract wind flow from terrestrial point clouds, and two detection strategies for windows are presented, depending on w hether a window is covered with curtains or not.
Proceedings ArticleDOI
Scale selection for classification of point-sampled 3D surfaces
TL;DR: The problem of automatic data-driven scale selection to improve point cloud classification is investigated and the approach is validated with results using data from different sensors in various environments classified into different terrain types.