Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles

Vedhus Hoskere, Jong Woong Park, Hyungchul Yoon, Billie F. Spencer

Research output: Contribution to journalArticlepeer-review


Computer vision techniques for extracting dynamic structural displacements from videos are gaining increasing acceptance for the purposes of system identification and structural health monitoring. However, the application of video-based techniques for modal analysis of full-scale civil infrastructure has been limited, because obtaining measurements of all points on a large structure with a single video frame with sufficient resolution is seldom feasible. In this study, a new approach is presented to facilitate the extraction of frequencies and mode shapes of full-scale civil infrastructure from video obtained by an unmanned aerial vehicle (UAV). This approach addresses directly a number of difficulties associated with modal analysis of full-scale infrastructure using vision-based methods. The proposed approach is evaluated using a story-story shear-building model excited on a shaking table in a laboratory environment, and on a full-scale pedestrian suspension bridge. The results demonstrate the efficacy of the proposed approach.

Original languageEnglish (US)
Article number04019062
JournalJournal of Structural Engineering (United States)
Issue number7
StatePublished - Jul 1 2019

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering


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