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Journal ArticleDOI

Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques

TLDR
An overview of the newly developed automated image-based reconstruction approach and exclusive features which distinct it from other image- based or conventional photogrammetric techniques is presented and the terrestrial laser scanning approach carried out for reconstruction and comparison of as-built scenes is presented.
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This article is published in Automation in Construction.The article was published on 2011-12-01. It has received 333 citations till now. The article focuses on the topics: Point cloud & Visualization.

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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

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

TL;DR: An overview of recent advances in computer vision techniques as they apply to the problem of civil infrastructure condition assessment and some of the key challenges that persist toward the goal of automated vision-based civil infrastructure and monitoring are presented.
Journal ArticleDOI

Research trends and opportunities of augmented reality applications in architecture, engineering, and construction

TL;DR: This paper discusses trends in AR applications for architecture, engineering, construction, and facility management (AEC/FM), and outlines the research trends and opportunities for applying AR in the fields of AEC/ FM.
Journal ArticleDOI

Computer vision techniques for construction safety and health monitoring

TL;DR: This paper categorizes previous studies into three groups-object detection, object tracking, and action recognition-based on types of information required to evaluate unsafe conditions and acts, and provides researchers insights into advancing knowledge and techniques for computer vision-based safety and health monitoring.
References
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Journal Article

Application of D4AR – A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication

TL;DR: This research focuses on exploring application of unsorted daily progress photograph logs available on any construction site as a data collection technique and the results of progress comparison between as-planned and as-built performances are visualized in the D4AR (4D Augmented Reality) environment using a traffic light metaphor.
Proceedings ArticleDOI

On the geometry and algebra of the point and line correspondences between N images

TL;DR: The formalism of the Grassmann-Cayley algebra is proposed to use as the simplest way to make both geometric and algebraic statements in a very synthetic and effective way (i.e. allowing actual computation if needed).
Journal ArticleDOI

Automated retrieval of 3D CAD model objects in construction range images

TL;DR: This paper presents a new approach for robust automated recognition/retrieval of 3D CAD objects in range point clouds in the Architectural/Engineering/Construction & Facility Management (AEC-FM) context and demonstrates how this approach can be used for efficiently assessing construction progress.
Journal ArticleDOI

Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs

TL;DR: In this paper, the authors proposed a visualization of performance metrics that aims to represent progress deviations through superimposition of four-dimensional (4D) as-planned model over time-lapsed photographs in single and comprehensive visual imagery.
Journal ArticleDOI

Finding paths through the world's photos

TL;DR: This work takes as input a large set of community or personal photos, reconstructs camera viewpoints, and automatically computes orbits, panoramas, canonical views, and optimal paths between views.
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