使用配备相机的微型无人机支持协作荒野搜索和救援队

M. Goodrich, Lanny Lin, B. Morse
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引用次数: 11

摘要

只提供摘要形式。目前在荒野搜索和救援(WiSAR)的实践可以看作是一个协作系统,旨在收集和分析信息,以寻找在偏远地区失踪的人。该系统由多个部分组成——用于信息管理的各种工具(地图、GPS等),分布在具有不同技能和职责的人员之间。在WiSAR中引入配备摄像头的微型无人机(mini-UAV)需要自主性和信息技术,这些技术本身就是一个集成的智能系统,由必须集成到整个协作系统中的子团队使用。我们回顾了为自治系统卸载或补充许多责任的组件技术,并描述了如何将自治和信息集成到用户界面中,以更好地支持跨时间和空间的分布式搜索。该集成系统已经通过一系列飞行测试和现场试验进行了开发,并且还向犹他县搜救人员进行了演示。搜索人员已经利用这项技术成功地在荒野地区找到了一个模拟的失踪者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using camera-equipped mini-UAVS to support collaborative wilderness search and rescue teams
Summary form only given. Current practice in Wilderness Search and Rescue (WiSAR) can be viewed as a collaborative system designed to gather and analyze information to find missing persons in remote areas. The system consists of multiple parts - various tools for information management (maps, GPS, etc) distributed across personnel with different skills and responsibilities. Introducing a camera-equipped mini-Unmanned Aerial Vehicle (mini-UAV) into WiSAR requires autonomy and information technology that itself is an integrated intelligent system to be used by a sub-team that must be integrated into the overall collaborative system. We review component technology that offloads or supplements many responsibilities to autonomous systems, and describe how autonomy and information are integrated into user interfaces to better support distributed search across time and space. The integrated system has been developed through a series of flight tests and field trials, and has also been demonstrated to Utah County Search and Rescue personnel. Searchers have used the technology to successfully locate a simulated missing person in a wilderness area.
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