EAGER: Model-Driven Sensor Management in Support of Decision Making

EAGER：支持决策的模型驱动传感器管理

• 批准号: 1548149
• 负责人: Herbert Tanner
• 金额: $ 7.84万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1548149&HistoricalAwards=false
• 关键词: EAGER; Model; Driven; Sensor; Management

Imagine a scenario in which illicit nuclear material may be in transit. How can we tell in a matter of minutes whether a truck, boat, railway car, or even a person with a backpack in a crowed street is a carrier of (possibly shielded) radioactive material? This project focuses on the underlying science behind the problem of timely detection of weak radioactive sources from a distance, by steering robots (ground and/or aerial) equipped with radiation counters. The proposed theory promotes national security objectives by providing improved decision-making algorithms. These algorithms can support both existing and future sensor technology, and help develop new detection tools which can form an effective layer of protection against radiological attacks at home, and contribute a useful tool for nuclear nonproliferation abroad.Novel features of the methodology in this project include the model-based approach to active sensing, and the formulation of the detection problem in a way that is more compatible with real-world scenarios. This approach departs from the classical active sensing approaches by querying measurement models, as opposed to merely measurement data, in order to improve the performance of decision making. The approach signifies a paradigm shift for active sensing in sensor management: instead of relying on sensor measurements (data) to decide how to sample, here the approach is to rely on measurement physics (models).

想象一下，非法核物质可能正在运输中的情况。在几分钟之内，我们如何才能分辨出卡车，船，铁路汽车，甚至是在乌鸦街上有背包的人是（可能是屏蔽的）放射性材料的载体？该项目着重于及时检测远距离探测弱放射性来源的基本科学，配备了带有辐射计数器的转向机器人（地面和/或空中）。提出的理论通过提供改进的决策算法来促进国家安全目标。这些算法可以支持现有的和未来的传感器技术，并帮助开发新的检测工具，可以有效地保护在家中的放射学攻击，并为国外的核非扩散做出了有用的工具。该方法中该方法的novel特征包括基于模型的积极感应方法，以及与更重要的Sceare compate compatiable Scears compate compate compate compate compate compate compate compate compatiable seneace compatiable sceace compatiable sceame compatiable sceame sceame sceam complecl sceam sceam senear sceam scears senear sceam sceam necorl。这种方法通过查询测量模型而不是仅仅是测量数据来脱离经典的主动感测方法，以提高决策的性能。该方法表示在传感器管理中进行主动传感的范式转移：而不是依靠传感器测量（数据）来决定如何采样，而是在这里依靠测量物理学（模型）。