Automated building occupancy authorization using BIM and UAV-based spatial information: photogrammetric reverse engineering

Seung Hyeon Lee, Seung Hak Woo, Jung Rim Ryu, Seung Yeon Choo

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

At present, due to the use of manual, rather than automated measurements, the inspection for building occupancy authorization lacks objectivity. Seeking to improve this situation, in this study, we used unmanned aerial vehicle for automated inspection for building occupancy authorization. Theoretical considerations about building occupancy authorization and the trend of UAV technology were accomplished. Furthermore, reverse engineering, including digital photography, network RTK-VRS surveying, and post-processing data, was conducted. The obtained spatial information was used for building occupancy inspection authorization in a BIM platform, and the effectiveness and applicability of UAV-based inspection was analyzed. The results of this study demonstrate that UAV-based automated inspection can reduce error rate in on-site measurement, conduct complete enumeration survey of the entire range of building, and collect data ensuring objectivity of the inspection due to authentic accuracy and effectiveness.

Original languageEnglish
Pages (from-to)154-161
Number of pages8
JournalJournal of Asian Architecture and Building Engineering
Volume18
Issue number2
DOIs
StatePublished - 4 Mar 2019

Keywords

  • Automated use admission of buildings
  • BIM
  • digital photogrammetry
  • reverse engineering
  • UAV

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