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A Study on the Development of
Self-driving Platform S/W for Forest Fire Control in Korea Korea University, Republic of Korea
Abstract Two thirds of the land of Korea is covered with forests, and the frequency of forest fires in this country is relatively high. In addition, forest fires are bringing forth serious environment damages and heavy loss of lives. What is more, manpower and equipment mobilized for forest fire fighting often suffer severe damages. In order to minimize such damages, research is being made actively these days for controlling forest fires though IT technologies and unmanned systems such as drones. Considering the characteristics and topographic properties of forests in Korea, forest fire control through unmanned drones may be highly effective. Compared to research on general self-driving platforms, however, few studies have been made on self-driving platforms for forest fire control, which is a somewhat special area. Thus, this study purposed to propose a system for developing the S/W of self-driving robots for forest fire control, to develop and test a simulator, and to suggest an optimized system development model for the future. Keywords: IOT, spatial information, forest fire,
disaster management system +: Corresponding author: Joon-ho Lee Seongnam-si, Korea 13637, Tel: +82-(0)10-9020-1375 IT Convergence Practice (INPRA), Vol. 4, No. 3, pp. 9-19, September 2016 [pdf] |