Image-Based Modeling Approaches for Projects Status Comparison

Project professionals frequently compare as-planned models with the as-built status to re-plan and coordinate site work, control project quality, monitor progress, detect defects, and inspect building health. During the last few years significant research has been undertaken on image-based modeling (IBM) techniques for construction projects. This paper investigates current IBM tools and techniques for project status comparison to identify gaps and overlaps in this area. To provide a state-of-the-art study on this topic, this research reviews 93 articles published in 16 civil engineering journals and conference databases between 2005 and the summer 2013. Based on reviewing these 93 articles, authors developed a process framework for image-based project monitoring systems. Moreover, among those 93 articles, ten articles have been selected based on their comparison technique and purposes. These ten articles are further investigated from the following perspectives: (a) image-based modeling approaches (collection, analysis, and representation); (b) process followed, product produced, and resource used in each image-based modeling phase (as-planned modeling, as-built modeling, and status comparison). In summary, literature shows that the majority of articles have focused on using off-the-shelf image-based modeling hardware (digital camera, 3D range camera, and laser scanner) and software (BIM, AutoCAD and AutoDesk products) available for as-built and as-planned data modeling to automatically monitor project progress or detect defections. Moreover, literature shows lack of research in some areas including image-based modeling of interior construction; as-built verification and plan updating procedures; and validation of success for the developed image-based monitoring systems.

[1]  Danijel Rebolj,et al.  Automated construction activity monitoring system , 2008, Adv. Eng. Informatics.

[2]  Fernanda Leite,et al.  Evaluation of accuracy of as-built 3D modeling from photos taken by handheld digital cameras , 2012 .

[3]  Feniosky Peña-Mora,et al.  PROJECT DASHBOARD: CONCURRENT VISUAL REPRESENTATION METHOD OF PROJECT METRICS ON 3D BUILDING MODELS , 2005 .

[4]  Erez N. Allouche,et al.  PHOTO-NET II: a computer-based monitoring system applied to project management , 2003 .

[5]  Hyojoo Son,et al.  3D structural component recognition and modeling method using color and 3D data for construction progress monitoring , 2010 .

[6]  Changyoon Kim,et al.  4D CAD model updating using image processing-based construction progress monitoring , 2013 .

[7]  Mani Golparvar-Fard,et al.  Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs , 2009 .

[8]  Ming Lu,et al.  Analytical Approach to Augmenting Site Photos with 3D Graphics of Underground Infrastructure in Construction Engineering Applications , 2011, J. Comput. Civ. Eng..

[9]  Frédéric Bosché,et al.  Toward Automated Earned Value Tracking Using 3D Imaging Tools , 2013 .

[10]  Changmin Kim,et al.  Automated construction progress measurement using a 4D building information model and 3D data , 2013 .

[11]  SangHyun Lee and Feniosky Peña-Mora.  Visualization Of Construction Progress Monitoring , 2006 .

[12]  Shin Ta Liu,et al.  Project Management: A Systems Approach To Planning, Scheduling and Controlling (Book) , 2004 .

[13]  Ioannis Brilakis,et al.  Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation , 2011 .

[14]  Zeeshan Aziz,et al.  An object-based 3D walk-through model for interior construction progress monitoring , 2011 .

[15]  Mani Golparvar-Fard,et al.  Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC-Based Building Information Models , 2015, J. Comput. Civ. Eng..

[16]  Naruo Kano,et al.  Comparison of construction photograph and VR image in construction progress , 2008 .

[17]  H. W. Parker,et al.  Productivity improvement in construction , 1988 .

[18]  Yi-Ping Chen,et al.  Image-based 3D scene reconstruction and exploration in augmented reality , 2013 .

[19]  David Arditi,et al.  Construction scheduling and progress control using geographical information systems , 2006 .

[20]  Mani Golparvar-Fard,et al.  High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications , 2013 .