D4ar- 4 Dimensional Augmented Reality - Models or Automation and Interactive Visualization of Construction Progress Monitoring

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2010

Author dc:creator

• Golparvar Fard, Mani

Contributors dc:contributor

• Liang Liu
• Peña-Mora, Feniosky
• Silvio Savarese

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3601058

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83421