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Autonomous Drones for Nature Conservation Missions

Autonomous Drones for Nature Conservation Missions
用于自然保护任务的自主无人机
批准号:
EP/X029077/1
负责人:
Thomas Richardson
金额:
$67.6万
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
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
The aim of WildDrone is to push wildlife conservation practices into the 21st century. The need for effective, cost-efficient conservation practices are greater than ever as we currently face the greatest loss of global biodiversity in history. Present conservation practices are typically very labour intensive, costly, and time-consuming. Collected data is often inaccurate or incomplete. However, recent advances in drone technology have shown that this technology has great potential as a practical tool for conservationists and that it could potentially revolutionize our efforts in nature conservation. Nevertheless, drone technology is still a developing field and many obstacles stand in the way of us harvesting the benefits of this emerging technology. To fully achieve its promising potential in this new domain we will need to invent more robust and predictable robotic technologies, including effective and automated means of gathering and interpreting ecological and behavioural data. WildDrone will address these challenges by joining the scientific areas of aerial robotics, computer vision, and wildlife ecology. The network proposes to develop new autonomous drone technology, expand current computer vision capabilities, and combine these advances to create practical tools for visual inspection and monitoring of wildlife populations. This drone-based inspection will provide conservationists with crucial knowledge of animal health, behaviour, and numbers. These challenges will be solved by 11 PhDs (one self-funded). An interdisciplinary research training programme has been designed to educate a new generation of PhDs and provide them with a unique skill set enabling them to tackle the great challenges we must solve collectively, if we are to reverse the decline of global biodiversity. This program will raise the level of excellence in doctoral programs and simultaneously enhance the career perspectives of the PhDs in both academia and industry.
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Dissecting the molecular aetiology of complex traits using high dimensional omic data
  • 批准号:
    MR/S003886/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $39.03万
  • 财政年份:
    2018
  • 负责人:
    Thomas Richardson
  • 依托单位:
Collaborative Research: Graphical and Algebraic Models for Multivariate Categorical Data
  • 批准号:
    0505865
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2005
  • 负责人:
    Thomas Richardson
  • 依托单位:
Graphical Markov Models with Interpretable Structure
  • 批准号:
    9972008
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $15.5万
  • 财政年份:
    1999
  • 负责人:
    Thomas Richardson
  • 依托单位:
海外基金