Journal ArticleDOI
Toward automated generation of parametric BIMs based on hybrid video and laser scanning data
Ioannis Brilakis,Manolis I. A. Lourakis,Rafael Sacks,Silvio Savarese,Symeon E. Christodoulou,Jochen Teizer,Atefe Makhmalbaf +6 more
TLDR
This paper outlines the technical approach proposed by a consortium of researchers that has gathered to tackle the ambitious goal of automating as-built modelling as far as possible, and the top level framework of the proposed solution is presented.About:
This article is published in Advanced Engineering Informatics.The article was published on 2010-11-01. It has received 180 citations till now. The article focuses on the topics: Information model & Building information modeling.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
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.
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The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components
TL;DR: The research presented in this paper combines the Hough transform and “Scan-vs-BIM” systems in a unified approach for more robust automated comparison of as-built and as-planned cylindrical MEP works, thereby providing the basis for automated earned value tracking, automated percent-built-as-planned measures, and assistance for the delivery of as -built BIM models from as-designed ones.
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Automated progress tracking using 4D schedule and 3D sensing technologies
TL;DR: A novel system is described herein that combines 3D object recognition technology with schedule information into a combined 4D object oriented progress tracking system that demonstrates a degree of accuracy for automated progress tracking that meets or exceeds typical manual performance.
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A scientometric review of global BIM research: Analysis and visualization
TL;DR: A scientometric review of global BIM research in 2005–2016, through co-author analysis, co-word analysis and co-citation analysis provides researchers and practitioners with an in-depth understanding of the status quo and trend of the BIMResearch in the world.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
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A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
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Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
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A method for registration of 3-D shapes
Paul J. Besl,H.D. McKay +1 more
TL;DR: In this paper, the authors describe a general-purpose representation-independent method for the accurate and computationally efficient registration of 3D shapes including free-form curves and surfaces, based on the iterative closest point (ICP) algorithm, which requires only a procedure to find the closest point on a geometric entity to a given point.
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: The Scale-Invariant Feature Transform (or SIFT) algorithm is a highly robust method to extract and consequently match distinctive invariant features from images that can then be used to reliably match objects in diering images.