6 September 2017 The use of UAS in disaster response operations
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Proceedings Volume 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017); 104440W (2017) https://doi.org/10.1117/12.2279730
Event: Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 2017, Paphos, Cyprus
Abstract
The use of UAS by the emergency services has been received with great interest since UAS provide both informant and helper support in a flexible, effective and efficient manner. This is due to the fact that, UAS can strengthen the operational capabilities related to: prevention (e.g., patrolling of large and hard to reach areas), early detection (e.g., mapping of vulnerable elements), disaster preparedness (e.g., incident inspection), response (mapping damages, search and rescue, provide an ad hoc communication network, monitor evacuation, etc). Through PREDICATE, a project concerning civilian use of drones, the necessary methodologies to guide the selection and operational use of UAS in emergencies, are developed. To guide UAS selection, the project performed a detailed needs assessment in cooperation with civil protection and law enforcement agencies. As a result of this assessment, currently available technologies and market solutions were reviewed leading to the development of an online user-friendly tool to support selection of UAS based on operational requirements. To guide the use of UAS, PREDICATE developed an intelligent path planning toolkit to automate the operation of UAS and ease their use for the various civil protection operations. By employing the aforementioned tools, emergency services will be able to better understand how to select and make use of UAS for watch-keeping and patrolling of their own disaster-prone Regions of Interest. The research, innovation and applicability behind both these tools is detailed in this work.
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I. Gkotsis, G. Eftychidis, P. Kolios, "The use of UAS in disaster response operations", Proc. SPIE 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 104440W (6 September 2017); doi: 10.1117/12.2279730; https://doi.org/10.1117/12.2279730
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