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Developing Stereo-vision based Drone for 3D Model Reconstruction of Collapsed Structures in Disaster Sites
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 Title & Authors
Developing Stereo-vision based Drone for 3D Model Reconstruction of Collapsed Structures in Disaster Sites
Kim, Changyoon; Lee, Woosik;
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Understanding of current features of collapsed buildings, terrain, and other infrastructures is a critical issue for disaster site managers. On the other hand, a comprehensive site investigation of current location of survivors buried under the remains of a building is a difficult task for disaster managers due to the difficulties in acquiring the various information on the disaster sites. To overcome these circumstances, such as large disaster sites and limited capability of rescue workers, this study makes use of a drone (unmanned aerial vehicle) to effectively obtain current image data from large disaster areas. The framework of 3D model reconstruction of disaster sites using aerial imagery acquired by drones was also presented. The proposed methodology is expected to assist fire fighters and workers on disaster sites in making a rapid and accurate identification of the survivors under collapsed buildings.
3D Model;3D Reconstruction;Disaster;Drone;Topography;Unmanned Aerial Vehicle(UAV);
 Cited by
P. Liu, A. Y. Chen, Y.-N. Huang, J.-Y. Han, J.-S. Lai, S.-C. Kang, T.-H. Wu, M.-C. Wen, and M.-H. Tsai, "A Review of Rotorcraft Unmanned Aerial Vehicle (UAV) Developments and Applications in Civil Engineering", Smart Structures and Systems. vol. 13, no. 6, pp. 1065-1094, 2014. DOI: crossref(new window)

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C.Kim, H. Moon, and W. Lee, "Automated 3D Model Reconstruction of Disaster Site Using Aerial Imagery Acquired By Drones", The 6th International Conference on Construction Engineering and Project Management (ICCEPM2015), Busan, Korea, 2015.

Institute of Information Science and Technologies - Consiglio Nazionale delle Ricerche,, 2015.11.15.