COOPERATIVE AND INTELLIGENT UNMANNED AERIAL VEHICLES FOR EMERGENCY RESPONSE APPLICATIONS

用于应急响应应用的协作智能无人机

基本信息

  • 批准号:
    EP/Y028023/1
  • 负责人:
  • 金额:
    $ 8.1万
  • 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界面临的最大威胁之一,导致许多极端的天气事件,洪水,野火和热浪。无人驾驶汽车(UAV)是应急响应应用程序(ERA)的有前途的技术,可提供更有效,更快的服务,以挽救生命并减少经济损失。该项目旨在为时代开发创新的合作社,连接和智能的无人机(CIUS),在此过程中,可以通过有效的通信和CIUS控制来共享和利用各个无人机的传感和计算资源以及来自单个无人机的飞行信息。具体而言,上下文感知和以服务为导向的无人机(U2X)网络;强大的合作无人机感应和计算(CSC)方案和智能合作无人机控制策略将被研究。创建了一个由世界领先的学术机构和知名工业伙伴组成的国际跨学科和跨学科财团,以合作开发时代的新型CIU技术。将研究尖端的通信网络,边缘计算,合作感测,智能控制和机器学习相关技术以应对相关的挑战。凭借合作伙伴的有能力和补充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,并为欧洲在无人机,合作感应和计算,多代理的控制,信息控制,信息和通信技术(ICT)以及紧急响应阶段做出贡献。开发的CIU技术和应用不仅适用于各种时代,例如洪水,野火和地震。但也很容易扩展到其他应用程序,例如智能城市,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)

暂无数据

数据更新时间:2024-06-01

Xiaomin Chen其他文献

Application of modular mathematical modeling in intelligent design of 3D digital substation
模块化数学建模在3D数字化变电站智能设计中的应用
Structure and hardness evolution of the scale of a Zr-based metallic glass during oxidation
Rotating missile self-infrared radiation interference compensation for dual-band infrared attitude measurement
双波段红外姿态测量旋转导弹自身红外辐射干扰补偿
  • DOI:
    10.1063/5.0018447
    10.1063/5.0018447
  • 发表时间:
    2020-09
    2020-09
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Miaomiao Xu;Xiongzhu Bu;Xiaomin Chen;Yang Song
    Miaomiao Xu;Xiongzhu Bu;Xiaomin Chen;Yang Song
  • 通讯作者:
    Yang Song
    Yang Song
Structure and piezoelectric properties of BiFeO3 and Bi0.92Dy0.08FeO3 multiferroics at high temperature
BiFeO3和Bi0.92Dy0.08FeO3多铁材料的高温结构和压电性能
  • DOI:
    10.1016/j.ssc.2012.04.067
    10.1016/j.ssc.2012.04.067
  • 发表时间:
    2012-07
    2012-07
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Chen Sun;Xiaomin Chen;Junling Wang;Guoliang Yuan;Jiang Yin;Zhiguo Liu
    Chen Sun;Xiaomin Chen;Junling Wang;Guoliang Yuan;Jiang Yin;Zhiguo Liu
  • 通讯作者:
    Zhiguo Liu
    Zhiguo Liu
Performance Analysis of Space-time Coded MIMO System with Discrete-rate Adaptive Modulation in Ricean Fading Channels
莱斯衰落信道中离散速率自适应调制空时编码MIMO系统性能分析
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前往

Xiaomin Chen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/Z000262/1
    EP/Z000262/1
  • 财政年份:
    2024
  • 资助金额:
    $ 8.1万
    $ 8.1万
  • 项目类别:
    Research Grant
    Research Grant

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