Abstract
The objective of this paper is to assess the feasibility of an alternative approach to collect water information relating to flooding crisis by means of a small drone. This information includes aerial images, their geographic locations, water flow velocity and its direction, all of which are normally difficult to obtain and in fact expensive should a conventional helicopter or buoyancy are opted. With a drone, however, these acquisitions can be done by a minimally trained operator and under controlled budget. This paper presents the breakout configuration and integration of various sensors and their data management scheme based on a series of image processing techniques, emulating the tasks required to estimate the key flood related parameters. The experimental results reported herein could provide a basis for determining its potential applications in flood warning and predicting systems, as well as concerns that need to be addressed.
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Srikudkao, B., Khundate, T., So-In, C., Horkaew, P., Phaudphut, C., Rujirakul, K. (2015). Flood Warning and Management Schemes with Drone Emulator Using Ultrasonic and Image Processing. In: Unger, H., Meesad, P., Boonkrong, S. (eds) Recent Advances in Information and Communication Technology 2015. Advances in Intelligent Systems and Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-19024-2_11
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DOI: https://doi.org/10.1007/978-3-319-19024-2_11
Publisher Name: Springer, Cham
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