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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.

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Citations
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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.
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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

Reconstruction of 3D building models from aerial images and maps

TL;DR: In this article, a 3D building reconstruction method that integrates the aerial image analysis with information from large-scale 2D Geographic Information System (GIS) databases and domain knowledge is presented.
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Fast vision-guided mobile robot navigation using model-based reasoning and prediction of uncertainties

TL;DR: A special aspect of the model-based vision system is the sequential reduction in the uncertainty as each image feature is matched successfully with a landmark, allowing subsequent features to be matched more easily; this is a natural by-product of the manner in which the system uses Kalman filter-based updating.
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A Novel Representation and Feature Matching Algorithm for Automatic Pairwise Registration of Range Images

TL;DR: This work presents a novel feature matching algorithm for automatic pairwise registration of range images which is robust to the resolution of the range images, the number of tensors per view, the required amount of overlap, and noise.
Journal ArticleDOI

Superquadrics for segmenting and modeling range data

TL;DR: It is shown that superquadrics can directly be recovered from unsegmented data, thus avoiding any presegmentation steps (e.g. in terms of surfaces), and the approach is based on the recover-and-select paradigm.
Journal Article

A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots.

TL;DR: In this paper, a real-time algorithm for acquiring compact 3D maps of indoor environments, using a mobile robot equipped with range and imaging sensors, is presented. But this algorithm is not suitable for indoor environments.
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