SARDO：一种基于无人机的自动搜索和救援受害者定位解决方案
SARDO: An Automated Search-and-Rescue Drone-based Solution for Victims Localization
摘要：
自然灾害每年影响数百万人。在尽可能短的时间内找到失踪人员对减少死亡人数至关重要。当受害者分散在大面积和/或难以到达的地区，并且蜂窝网络中断时，这项任务尤其具有挑战性。在本文中，我们提出了SARDO，一个基于无人机的搜索和救援解决方案，利用手机在社会中的高渗透率来定位失踪人员。SARDO是一种基于无人机的自主一体化移动网络解决方案，不需要基础设施支持或移动电话修改。它建立在新的概念，如伪三边测量结合机器学习技术，以有效地定位移动电话在一个给定的区域。我们的研究结果，在现场试验中的原型实现，表明SARDO快速确定移动电话的位置（~3分钟/UE）在给定的区域，精度为几十米，并在一个低的电池消耗成本（~5%）。最先进的灾难场景定位解决方案依赖于移动基础设施支持或利用机载摄像头进行人类/计算机视觉、IR、热定位。据我们所知，SARDO是第一个基于无人机的蜂窝搜索和救援解决方案，能够通过手机准确定位失踪受害者。
英文摘要：
Natural disasters affect millions of people every year. Finding missing persons in the shortest possible time is of crucial importance to reduce the death toll. This task is especially challenging when victims are sparsely distributed in large and/or difficult-to-reach areas and cellular networks are down. In this paper we present SARDO, a drone-based search and rescue solution that exploits the high penetration rate of mobile phones in the society to localize missing people. SARDO is an autonomous, all-in-one drone-based mobile network solution that does not require infrastructure support or mobile phones modifications. It builds on novel concepts such as pseudo-trilateration combined with machine-learning techniques to efficiently locate mobile phones in a given area. Our results, with a prototype implementation in a field-trial, show that SARDO rapidly determines the location of mobile phones (~3 min/UE) in a given area with an accuracy of few tens of meters and at a low battery consumption cost (~5%). State-of-the-art localization solutions for disaster scenarios rely either on mobile infrastructure support or exploit onboard cameras for human/computer vision, IR, thermal-based localization. To the best of our knowledge, SARDO is the first drone-based cellular search-and-rescue solution able to accurately localize missing victims through mobile phones.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
