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Title:D4ar- 4 Dimensional Augmented Reality - Models or Automation and Interactive Visualization of Construction Progress Monitoring
Author(s):Golparvar Fard, Mani
Doctoral Committee Chair(s):Liang Liu; Peña-Mora, Feniosky; Silvio Savarese
Department / Program:Civil Engineering
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Computer Science
Abstract:The resulting D4AR models overcome the challenges of current progress monitoring practice and further enable AEC professionals to conduct various decision-making tasks in virtual environments rather than the real world where it is time-consuming and costly. To that extent, the underlying hypotheses and algorithms for generation of integrated 4D as-built and as-planned models as well as automated progress monitoring are presented. Promising experimental results are demonstrated on several challenging building construction datasets under different lighting conditions and sever occlusions. This marks the D 4AR modeling approach to be the first of its kind to take advantage of existing construction photo collections for the purpose of automated monitoring and visualization of performance deviations. Unlike other methods that focus on application of laser scanners or time-lapse photography, this approach is able to use existing information without adding burden of explicit data collection on project management and reports competitive accuracies compared to those reported with laser scanners especially in presence of sever occlusions.
Issue Date:2010
Description:217 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.
Other Identifier(s):(MiAaPQ)AAI3601058
Date Available in IDEALS:2015-09-25
Date Deposited:2010

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