Computer-Aided Civil and Infrastructure Engineering

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Combining an Angle Criterion with Voxelization and the Flying Voxel Method in Reconstructing Building Models from LiDAR Data
Computer-Aided Civil and Infrastructure Engineering - Tập 28 Số 2 - Trang 112-129 - 2013
Linh Truong‐Hong, Debra F. Laefer, Tommy Hinks, Hamish Carr
Abstract:  Traditional documentation capabilities of laser scanning technology can be further exploited for urban modeling through the transformation of resulting point clouds into solid models compatible for computational analysis. This article introduces such a technique through the combination of an angle criterion and voxelization. As part of that, a k‐nearest neighbor (kNN) searching algorith... hiện toàn bộ
Non‐Uniform B‐Spline Surface Fitting from Unordered 3D Point Clouds for As‐Built Modeling
Computer-Aided Civil and Infrastructure Engineering - Tập 31 Số 7 - Trang 483-498 - 2016
Andrey Dimitrov, Rongqi Gu, Mani Golparvar‐Fard
AbstractThe three‐dimensional mapping of the built environment is of particular importance for engineering applications such as monitoring work‐in‐progress and energy performance simulation. The state‐of‐the‐art methods for fitting primitives, non‐uniform B‐Spline surface (NURBS) and solid geometry to point clouds still fail to account for all the topological variations or struggle with mapping of... hiện toàn bộ
A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration
Computer-Aided Civil and Infrastructure Engineering - Tập 31 Số 7 - Trang 515-534 - 2016
Roberto Marani, Vito Renò, Massimiliano Nitti, Tiziana D’Orazio, Ettore Stella
AbstractIn this article, an accurate method for the registration of point clouds returned by a 3D rangefinder is presented. The method modifies the well‐known iterative closest point (ICP) algorithm by introducing the concept of deletion mask. This term is defined starting from virtual scans of the reconstructed surfaces and using inconsistencies between measurements. In this way, spatial regions ... hiện toàn bộ
Intelligent System for Condition Monitoring of Underground Pipelines
Computer-Aided Civil and Infrastructure Engineering - Tập 19 Số 1 - Trang 42-53 - 2004
Sunil K. Sinha, Mark Knight
Abstract:  Pipeline infrastructure is decaying at an accelerating rate due to reduced funding, insufficient quality control resulting in poor installation, little or no inspection and maintenance, and a general lack of uniformity and improvement in design, construction and operation practices, among other things. Developing an intelligent system can provide fast and reliable decision‐making tools ... hiện toàn bộ
Segmentation of Pipe Images for Crack Detection in Buried Sewers
Computer-Aided Civil and Infrastructure Engineering - Tập 21 Số 6 - Trang 395-410 - 2006
Shivprakash Iyer, Sunil K. Sinha
Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes
Computer-Aided Civil and Infrastructure Engineering - Tập 18 Số 2 - Trang 95-112 - 2003
Sunil K. Sinha, Paul Fieguth, Maria Anna Polak
Pipeline surface defects such as cracks cause major problems for asset managers, particularly when the pipe is buried under the ground. The manual inspection of surface defects in the underground pipes has a number of drawbacks, including subjectivity, varying standards, and high costs. An automatic inspection system using image processing and artificial intelligence techniques can overcome many o... hiện toàn bộ
Mobile Model-Based Bridge Lifecycle Management System
Computer-Aided Civil and Infrastructure Engineering - Tập 21 Số 7 - Trang 530-547 - 2006
Amin Hammad, Cheng Zhang, Yongxin Hu, Elaheh Mozaffari
A Wavelet Support Vector Machine‐Based Neural Network Metamodel for Structural Reliability Assessment
Computer-Aided Civil and Infrastructure Engineering - Tập 32 Số 4 - Trang 344-357 - 2017
Hongzhe Dai, Zhenggang Cao
AbstractWavelet neural network (WNN) has been widely used in the field of civil engineering. However, WNN can only effectively handle problems of small dimensions as the computational cost for constructing wavelets of large dimensions is prohibitive. To expand the application of WNN to higher dimensions, this article develops a new wavelet support vector machine (SVM)‐based neural network metamode... hiện toàn bộ
Development of an Accurate Positioning System Using Low-Cost L1 GPS Receivers
Computer-Aided Civil and Infrastructure Engineering - Tập 21 Số 4 - Trang 258-267 - 2006
Masayuki Saeki, Muneo Hori
Simulation of Accuracy Performance for Wireless Sensor‐Based Construction Asset Tracking
Computer-Aided Civil and Infrastructure Engineering - Tập 24 Số 5 - Trang 335-345 - 2009
Mirosław J. Skibniewski, Won‐Suk Jang
Abstract:  Today's mobile and remote construction applications, such as tracking of materials, equipment, and workers, demand high reliability and scalability of wireless sensor networks for a large‐scale construction site. In particular, identifying the location of distributed mobile entities throughout wireless communications becomes the primary task to realize the remote tracking and monitoring... hiện toàn bộ
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