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A UAV-based Algorithm to Assist Ground SAR Teams in Finding Lost Persons Living with Dementia

机译:一种基于无人机的算法,可协助地面搜救队寻找失智症患者

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Unmanned Aerial Vehicles (UAV) are now used in many applications. Our focus in this paper is on their use in public safety, specifically in search and rescue (SAR) operations involving lost persons living with dementia (LPLWD). When it comes to saving lives, there are many human factors associated with UAV operations that impact the performance of expert human SAR that could be improved through forms of automation. These include tasks associated with piloting and search/flight management during SAR operations with the assistance of analysis performed on data from similar incidents in the past. A LPLWD may not be interested in assisting in their own rescue as they may not know they are lost. As such, it has been observed that they tend to keep walking until they are faced with an obstacle that bars their further progress. Knowing this behavior allows us to make predictions. Our approach in developing a people finding algorithm is to identify higher probability locations where an LPLWD might be found through informed, behavior-based analysis of the given terrain. We develop an algorithm to fly a UAV to the vicinity of these higher probability locations. We have validated our algorithm through field testing. In this paper, we present the results from both our data collection and the field tests. In addition, validation tests are presented and compared.
机译:无人飞行器(UAV)现在用于许多应用中。我们在本文中的重点是在公共安全中使用它们,特别是在涉及失智症患者(LPLWD)的搜救(SAR)操作中。在挽救生命方面,有许多与无人机操作相关的人为因素会影响专家级SAR的性能,可以通过自动化形式加以改善。这些任务包括与SAR操作期间的飞行员和搜索/飞行管理相关的任务,并借助对过去类似事件数据的分析来进行帮助。 LPLWD可能不愿意协助自己进行救援,因为他们可能不知道自己丢失了。因此,已经观察到它们倾向于继续行走直到遇到阻碍其进一步发展的障碍。知道这种行为可以使我们做出预测。我们开发人员寻找算法的方法是,通过对给定地形进行基于行为的明智分析,识别出可能发现LPLWD的较高概率位置。我们开发了一种将无人飞行器飞行到这些较高概率位置附近的算法。我们已经通过现场测试验证了我们的算法。在本文中,我们介绍了数据收集和现场测试的结果。此外,还介绍并比较了验证测试。

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