无线技术协助无人驾驶飞行器搜索和定位大规模自然灾害的受害者

Takumi Kobayashi, Satoshi Seimiya, Kouhei Harada, Masaki Noi, Zane Barker, G. Woodward, A. Willig, R. Kohno
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引用次数: 15

摘要

当自然灾害发生时,应该尽快发现并治疗大量受伤的受害者。然而,由于基础设施遭到破坏,寻找遇难者并不容易。为了解决这些问题,作者提出了使用多架无人机和可靠的无线通信技术的几种解决方案。超宽带(UWB)无线电作为一种可靠的无线通信方式,被称为无线体域网络(WBAN)的物理层(PHY),用于本研究。超宽带无线电通过对到达时间的高分辨率时差检测,实现了一种可在室内使用的精确定位系统。我们的建议包括几个步骤。首先,利用全球定位系统(GPS)等全球导航卫星系统(GNSS)对多架无人机的地理位置进行估计。其次,多架无人机中有一架向目标移动,以扩大位置估计覆盖范围;当发现携带超宽带设备的受害者时,多架无人机上的锚节点估计受害者的位置。此外,受害者拥有的超宽带传感器节点可以获取受害者的生命体征,并将其与位置信息一起通过无人机发送给救援队。本文给出了在实际无人机和超宽带定位系统上进行的理论分析和实验的最新结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless technologies to assist search and localization of victims of wide-scale natural disasters by unmanned aerial vehicles
When natural disasters are occurred, a lot of injured victims should be found and have medical treatment as soon as possible. However, looking for the victims is not easy due to destroyed infrastructures. In order to solve the problems, authors have been proposed several solutions by using multiple unmanned aerial vehicles (UAVs) and dependable wireless communication technology. As a dependable wireless communication, ultra-wide band (UWB) radio which is known as a physical layer (PHY) of wireless body area network (WBAN) is used in this research. UWB radio can realize an accurate localization system which can be used indoor based on high resolution time difference detection of arrival time. Our proposal consists of several steps. At first, geo-location of multiple UAVs are estimated by global navigation satellite system (GNSS) such as global positioning system (GPS). Secondly, one of the multiple drones moves towards to destination in order to expand position estimation coverage area. When a victim who has UWB device is found, anchor nodes on multiple UAVs estimate the position of the victim. In addition, UWB sensor node which is owned by the victim can get vital-sign of the victim and transmit that with position information to rescue team via UAVs. This paper provides the latest results of theoretical analysis and experiments that performed by using actual UAVs and UWB localization system.
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