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SaTC: CORE: Medium: Collaborative: Enforcement of Geofencing Policies for Commercial Unmanned Aircraft Systems

SaTC: CORE: Medium: Collaborative: Enforcement of Geofencing Policies for Commercial Unmanned Aircraft Systems
SaTC:核心:媒介:协作:商业无人机系统地理围栏政策的执行
批准号:
1801611
负责人:
Ryan Gerdes
金额:
$95.77万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2022-08-31

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英文摘要
The adoption of services and applications that rely on Unmanned Aircraft Systems (UAS) is expected to continue its acceleration for the foreseeable future. Such services and applications include search and rescue, crop monitoring, real-time traffic monitoring, critical infrastructure inspections, and others. As UAS continue to proliferate, aviation regulatory agencies around the world are facing a challenging dilemma in terms of safely integrating UAS operations into their respective national airspace systems and enforcing their compliance to relevant regulations, including enforcement of no fly-zones. Current UAS lack effective on-board flight restrictions that would prevent them from entering critical airspace, e.g., airport runways and nuclear power plants. Furthermore, it is essential that the safety and privacy of members of the public be safeguarded from accidental and non-accidental UAS incursions. This project aims to address these critical needs by developing offensive and defensive measures for detecting, identifying, and bringing down UAS that violate controlled/restricted airspace in an automated, controlled, and reliable manner.A three phase approach to thwarting a UAS encroaching on restricted airspace will be used: (1) detect the incursion using passive radar that exploits signals of opportunity and radio frequency (RF) communications/emissions from the encroacher itself; (2) deploy one or more defender UAS, capable of learning the motivations and behaviors of the encroacher, to pursue the UAS and gain and maintain proximity to it even should the encroacher take evasive action; and (3) have the defender UAS launch offensive measures that manipulate/compromise the sensor and actuation signals the encroacher relies on to stay airborne.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
Synchronous Reinforcement Learning-Based Control for Cognitive Autonomy
基于同步强化学习的认知自主控制
DOI: 10.1561/2600000022
发表时间: 2020
期刊: Foundations and Trends® in Systems and Control
影响因子: --
作者: [Vamvoudakis, Kyriakos G., Kokolakis, Nick-Marios T.]
通讯作者: Kokolakis, Nick-Marios T.
DOI: 10.1109/access.2020.2966763
发表时间: 2020-01
期刊: IEEE Access
影响因子: 3.9
作者: [D. Muniraj;Dany Abou Jaoude;M. Farhood]
通讯作者: D. Muniraj;Dany Abou Jaoude;M. Farhood
DOI: 10.1109/tnnls.2022.3203977
发表时间: 2022-10
期刊: IEEE Transactions on Neural Networks and Learning Systems
影响因子: 10.4
作者: [Nikolaos-Marios T Kokolakis;K. Vamvoudakis]
通讯作者: Nikolaos-Marios T Kokolakis;K. Vamvoudakis
DOI: 10.23919/acc53348.2022.9867823
发表时间: 2022-06
期刊: 2022 American Control Conference (ACC)
影响因子: --
作者: [Filippos Fotiadis;Aris Kanellopoulos;K. Vamvoudakis;J. Hugues]
通讯作者: Filippos Fotiadis;Aris Kanellopoulos;K. Vamvoudakis;J. Hugues
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