Rapid 3D object recognition for automatic project progress monitoring using a stereo vision system

Nuri Choi, Hyojoo Son, Changwan Kim, Changyoon Kim, Hyoungkwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Progress monitoring, a critical tool for successful construction projects, provides information on the present state of construction, which can then be compared with the original plan. The comparison can be used in decision-making to control variations in project performance. However, current methods for acquiring and updating information on the progress of a project using digital cameras and laser-based systems are inadequate for monitoring project progress effectively due to their high computational processing, cost, and time requirements. A recently developed stereo vision system has the potential to provide information about construction project progress more efficiently, rapidly, and cheaply. In this paper, the framework for a rapid 3D object recognition technique and some preliminary experimental results are described. The results of the experiment show possibilities for applying the technique to automatic project progress monitoring and control systems.

Original languageEnglish
Title of host publicationISARC 2008 - Proceedings from the 25th International Symposium on Automation and Robotics in Construction
PublisherVilnius Gediminas Technical University
Pages58-63
Number of pages6
ISBN (Print)9789955283294
DOIs
Publication statusPublished - 2008
Event25th International Symposium on Automation and Robotics in Construction, ISARC 2008 - Vilnius, Lithuania
Duration: 2008 Jun 262008 Jun 29

Publication series

NameISARC 2008 - Proceedings from the 25th International Symposium on Automation and Robotics in Construction

Other

Other25th International Symposium on Automation and Robotics in Construction, ISARC 2008
CountryLithuania
CityVilnius
Period08/6/2608/6/29

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

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