single-rb.php

JRM Vol.30 No.3 pp. 443-452
doi: 10.20965/jrm.2018.p0443
(2018)

Paper:

Acquisition of Disaster Emergency Information Using a Terrain Database by Flying Robots

Yasuki Miyazaki*, Takafumi Hirano**, Takaaki Kobayashi*, Yoshihiro Imai*, Shin Usuki*, Yuichi Kobayashi*, Kenji Terabayashi***, and Kenjiro T. Miura*

*Shizuoka University
3-5-1 Johoku, Naka-ku, Hamamatsu, Shizuoka 432-8561, Japan

**Yokohama National University
79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan

***University of Toyama
3190 Gofuku, Toyama-shi, Toyama 930-8555, Japan

Received:
November 29, 2017
Accepted:
April 3, 2018
Published:
June 20, 2018
Keywords:
flying robot, large-scale point cloud, terrain database, multiresolution database, image processing
Abstract
Acquisition of Disaster Emergency Information Using a Terrain Database by Flying Robots

Poles were detected with a multiresolution terrain database

Because of the frequent occurrence of large-scale disasters, such as earthquakes, tsunamis, volcanic eruptions, and river floods, there is an increased demand for emergency response, restoration, and disaster prevention using robotic technology. One such technology involves assessment of the damage status using flying robots, which have undergone rapid development in recent years. In this study, using images of the disaster site obtained from a flying robot and a terrain database consisting of predisaster 3-D data, we aim to detect efficiently the collapse of electric utility poles, which are man-made objects, and the water level difference before and after river flooding, which is part of the natural landscape. By detecting these disaster-related events, we show the validity of the proposed method to assess the damage situation using the terrain database.

Cite this article as:
Y. Miyazaki, T. Hirano, T. Kobayashi, Y. Imai, S. Usuki, Y. Kobayashi, K. Terabayashi, and K. Miura, “Acquisition of Disaster Emergency Information Using a Terrain Database by Flying Robots,” J. Robot. Mechatron., Vol.30, No.3, pp. 443-452, 2018.
Data files:
References
  1. [1] F. Matsuno et al., On special issue “Rescue Robotics in Great East Japan Earthquake I,” J. of the Robotics Society of Japan, Vol.32, No.1, 2014 (in Japanese).
  2. [2] F. Matsuno, et al., On special issue “Rescue Robotics in Great East Japan Earthquake II,” J. of the Robotics Society of Japan, Vol.32, No.2, 2014 (in Japanese).
  3. [3] K. Nonami, F. Kendoul, S. Suzuki, W. Wang, and D. Nakazawa, “Autonomous Flying Robots – Unmanned Aerial Vehicles and Micro Aerial Vehicles,” Springer, 2010.
  4. [4] K. Nonami, “Rotary Wing Aerial Robotics,” J. of the Robotics Society of Japan, Vol.24, No.8, pp. 890-896, 2006 (in Japanese).
  5. [5] K. Fukui, “Edge Extraction Method Based on Separability of Image Features,” IEICE Trans. on Information and Systems, Vol.78, No.12, pp. 1533-1538, December 1995.
  6. [6] K. Fukui, “Contour Extraction Method Based on Separability of Image Features,” The IEICE Trans. (Japanese Edition), Vol.J80-D-2, No.6, pp.1406-1414, 1997.
  7. [7] F. Aurenhammer, R. Klein, and D.-T. Lee, “Voronoi Diagrams and Delaunay Triangulations,” World Scientific, 2013.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Oct. 17, 2018