COVER: Cooperative and intelligent unmanned aerial vehicles for emergency response applications

封面:用于应急响应应用的协作式智能无人机

基本信息

  • 批准号:
    EP/Y028031/1
  • 负责人:
  • 金额:
    $ 12.61万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

The climate change is now one of the biggest threats faced by our natural world and leads to many extreme weather events, flooding, wildfires and heatwaves. Unmanned Aerial Vehicles (UAVs) are the promising technologies for the emergency response applications (ERAs) to provide more efficient and faster services to save lives and reduce economic loss. This project aims to develop an innovative cooperative, connected and intelligent UAVs (CIUs) for ERAs, where sensing and computing resources, and flying information from individual UAV could be shared and exploited through effective communications and control of the CIUs. Specifically, context-aware and service-oriented UAV-to-everything (U2X) networks; robust cooperative UAV sensing and computing (CSC) schemes and intelligent cooperative UAV control strategies for ERAs will be investigated. An international inter-sector and inter-disciplinary consortium consisting of world leading academic institutions and prominent industrial partners is created to collaborate on developing novel CIU technologies in ERAs. Cutting-edge communications networks, edge computing, cooperative sensing, intelligent control, and machine learning related technologies will be investigated to tackle the associated challenges. With competent and complementary expertise of the partners and their extensive international research collaboration experience, this project will promote research innovation, foster knowledge sharing, enhance the potentials of participating researchers, and contribute to the European leadership in the UAVs, cooperative sensing and computing, multi-agent control, information and communications technology (ICT), and emergency response sectors. The developed CIU technologies and applications are not only applicable in various ERAs, like flooding, wildfires, and earthquake; but can also be readily extended to other applications, such as smart cities, public safety, agriculture, and the wider scientific community.
气候变化现在是我们自然世界面临的最大威胁之一,并导致许多极端天气事件,洪水,野火和热浪。无人驾驶飞行器(uav)是应急响应应用(ERAs)中很有前途的技术,可以提供更高效、更快速的服务,以挽救生命和减少经济损失。该项目旨在为era开发一种创新的协作、互联和智能无人机(ciu),其中可以通过有效的通信和控制ciu共享和利用来自单个无人机的传感和计算资源和飞行信息。具体来说,上下文感知和面向服务的无人机到一切(U2X)网络;研究了面向era的鲁棒协同无人机感知与计算(CSC)方案和智能协同无人机控制策略。成立了一个由世界领先的学术机构和杰出的工业伙伴组成的国际跨部门和跨学科联盟,共同开发era中的新型CIU技术。将研究尖端通信网络、边缘计算、协同传感、智能控制和机器学习相关技术,以应对相关挑战。凭借合作伙伴的能力和互补的专业知识及其广泛的国际研究合作经验,该项目将促进研究创新,促进知识共享,增强参与研究人员的潜力,并有助于欧洲在无人机、合作传感和计算、多智能体控制、信息和通信技术(ICT)和应急响应领域的领导地位。开发的CIU技术和应用不仅适用于各种灾害,如洪水、野火和地震;但也可以很容易地扩展到其他应用,如智慧城市、公共安全、农业和更广泛的科学界。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Kezhi Wang其他文献

Effect of an aryl amide derivative on the crystallization behaviour and impact toughness of poly(ethylene terephthalate)
芳基酰胺衍生物对聚对苯二甲酸乙二醇酯结晶行为和冲击韧性的影响
  • DOI:
    10.1039/c6ce00114a
  • 发表时间:
    2016-03
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Zhiyuan Shen;Faliang Luo;Qian Xing;Pengfei Si;Xiaomei Lei;Lijie Ji;Shengfang Ding;Kezhi Wang
  • 通讯作者:
    Kezhi Wang
Performance Analysis for Channel-Weighted Federated Learning in OMA Wireless Networks
OMA 无线网络中通道加权联邦学习的性能分析
  • DOI:
    10.1109/lsp.2022.3154653
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Na Yan;Kezhi Wang;Cunhua Pan;K. K. Chai
  • 通讯作者:
    K. K. Chai
UAV-Assisted Data Rate Maximization Under 3-D Channel Model
3D 通道模型下无人机辅助数据速率最大化
  • DOI:
    10.1109/vtc2021-spring51267.2021.9448681
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jianzhen Lin;Cunhua Pan;Chunlong He;Kezhi Wang
  • 通讯作者:
    Kezhi Wang
RIS-Aided mmWave Transmission: A Stochastic Majorization-Minimization Approach
RIS 辅助毫米波传输:一种随机多数化-最小化方法
DNA Binding and Photocleavage Properties, Cellular Uptake and Localization, and in-Vitro Cytotoxicity of Dinuclear Ruthenium(Ⅱ) Complexes with Varying Lengths in Bridging Alkyl Linkers
桥接烷基接头中不同长度的双核钌 (Ⅷ) 配合物的 DNA 结合和光裂解特性、细胞摄取和定位以及体外细胞毒性
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Bao-Yan Wu;Jin Liu;You-Jun Wang;Kezhi Wang
  • 通讯作者:
    Kezhi Wang

Kezhi Wang的其他文献

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{{ truncateString('Kezhi Wang', 18)}}的其他基金

HarmonicAI: Human-guided collaborative multi-objective design of explainable, fair and privacy-preserving AI for digital health
HarmonicAI:用于数字健康的可解释、公平和隐私保护人工智能的人工引导协作多目标设计
  • 批准号:
    EP/Y03743X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 12.61万
  • 项目类别:
    Research Grant

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  • 批准号:
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Intelligent and distributed multi-objective methods for optimization and control of multiagents/cooperative systems
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