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Journal ArticleDOI

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

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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.
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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.

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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

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

Knowledge based reconstruction of building models from terrestrial laser scanning data

TL;DR: An automatic method for reconstruction of building facade models from terrestrial laser scanning data, using knowledge about the features’ sizes, positions, orientations, and topology to recognize these features in a segmented laser point cloud.
ReportDOI

Winged edge polyhedron representation.

TL;DR: A winged edge polyhedron representation is stated and a set of primitives that preserve Euler''s F-E+V = 2 equation are explained.
Book

Qualitative representation of spatial knowledge

TL;DR: This work presents a cognitive perspective on knowledge representation from a qualitative perspective and extends the basic model to include qualitative representations of positions in 2-D.
Proceedings ArticleDOI

3D Building Detection and Modeling from Aerial LIDAR Data

TL;DR: This paper presents a method to detect and construct a 3D geometric model of an urban area with complex buildings using aerial LIDAR (Light Detection and Ranging) data and introduces the concept of a roof-topology graph to represent the relationships between the various planar patches of a complex roof structure.
Proceedings ArticleDOI

Comparison of surface normal estimation methods for range sensing applications

TL;DR: A detailed analysis and comparison of existing methods for surface normal estimation with a special emphasis on the trade-off between quality and speed is presented and guidelines on choosing the ‘right’ algorithm for the robotics practitioner are provided.
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