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A real-time field experiment on search and rescue operations assisted by unmanned aerial vehicles

机译:无人机辅助的搜救行动实时野外实验

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摘要

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.
机译:本文报告了一种用于支持搜索和救援活动的新型系统SARUAV(搜索和救援无人机)的性能,该系统在野外实验中模拟了真实的搜索场景。该实验于2017年3月2-3日在波兰西南部的两个地点进行。实验分为三组:(1)SARUAV和无人飞行器(UAV)运营商,(2)地面搜索者,以及(3)模拟迷失的参与者。在没有积雪的简单地形中,系统识别了失踪人员,并且在SARUAV报告分发后31分钟,地面搜索者找到了他们。在搜寻者收到SARUAV报告后9分钟内,在白雪覆盖的山区发现了一个人;但是,SARUAV无法识别其他两个人。现场实验是SARUAV系统概念的证明,证实了其在人员识别研究中的潜力,并帮助确定了开发成熟版本系统需要解决的众多科学和技术问题。

著录项

  • 来源
    《Journal of Field Robotics》 |2018年第6期|906-920|共15页
  • 作者单位

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

    Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wroctaw, Wroclaw, Poland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    lost person; nested k-means; ring model; target detection; unmanned aerial vehicle;

    机译:迷路的人嵌套k均值戒指模型目标检测;无人驾驶的航空机;

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