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A real‐time field experiment on search and rescue operations assisted by unmanned aerial vehicles
Authors:Tomasz Niedzielski  Miros?awa Jurecka  Bart?omiej Miziński  Joanna Remisz  Jacek ?lopek  Waldemar Spallek  Matylda Witek‐Kasprzak  ?ukasz Kasprzak  Ma?gorzata ?wierczyńska‐Chla?ciak
Affiliation:Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroc?aw, Poland
Abstract:This paper reports on the performance of a novel system for supporting search and rescue activities, known as SARUAV (search and rescue unmanned aerial vehicle), in a field experiment during which a real‐world search scenario was simulated. The experiment took place on March 2–3, 2017, at two sites located in southwestern Poland. Three groups acted in the experiment: (1) SARUAV and unmanned aerial vehicle (UAV) operators, (2) ground searchers, and (3) participants who simulated being lost. In the uncomplicated topography without snow cover, the system identified the lost persons, and ground searchers found them 31 min after the SARUAV report had been disseminated. In the mountainous area covered with snow, one person was found within 9 min after searchers received the SARUAV report; however, the other two persons were not identified by SARUAV. The field experiment served as a proof of concept of the SARUAV system, confirmed its potential in person identification studies, and helped to identify numerous scientific and technical problems that need to be solved to develop a mature version of the system.
Keywords:lost person  nested k‐means  ring model  target detection  unmanned aerial vehicle
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