Bridge construction progress monitoring using image analysis

Changyoon Kim, Hyoungkwan Kim, Yeonjong Ju

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

Construction progress monitoring is a critical task for construction managers. Traditionally, site superintendents walk the construction site to verify the progress report and understand the current state of construction processes. To get rid of the time consuming process, this research proposes a construction progress monitoring system comprised of a network type closed-circuit television (CCTV) camera, a wireless local area network, and image processing techniques. A civil engineering construction site was selected and the system is able to capture the images of the construction processes. In this paper, the hardware architecture of the system and its initial application results are presented with some promising outcomes.

Original languageEnglish
Pages101-104
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009 - Austin, TX, United States
Duration: 2009 Jun 242009 Jun 27

Other

Other2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009
Country/TerritoryUnited States
CityAustin, TX
Period09/6/2409/6/27

All Science Journal Classification (ASJC) codes

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

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