본문 바로가기
  • Home

Developing 3D Spatial Information Analysis and Visualization Technique for Disaster Areas

  • Crisisonomy
  • Abbr : KRCEM
  • 2017, 13(11), pp.119-131
  • DOI : 10.14251/crisisonomy.2017.13.11.119
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general
  • Received : July 31, 2017
  • Accepted : October 26, 2017
  • Published : November 30, 2017

Woosik Lee 1 HyounSeok, Moon 1

1한국건설기술연구원

Accredited

ABSTRACT

This study aims to build quickly the 3D model of disaster sites such as a facility collapse and visualize the location of the buried people based on the 3D spatial information. When a collapse occurs, it is very important for rescuers to identify the situation quickly and to rescue the buried within a golden time period. However, there is also a potential risk of secondary collapse that could endanger rescuers working on site. This study suggests the methodology to ensure immediate and safe rescue. First, we developed a module for image acquisition and transmission using a stereo camera on drone in order to easily acquire the collapse terrain information. Second, collapse shape information was modeled in 3D to enable spatial information analysis based on the acquired images. Third, the locations of the buried people were visualized by 3D modeling. Fourth, we verified the equipment and system developed through field test. The results of this study could provide rapid and safe information to rescuers when applied to actual disaster sites.

Citation status

* References for papers published after 2023 are currently being built.