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Networked drones for concrete structure, environmental, and radiation surveys

Networked drones for concrete structure, environmental, and radiation surveys
用于混凝土结构、环境和辐射调查的联网无人机
批准号:
528161-2018
负责人:
Schoellig, Angela
金额:
$12.31万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
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英文摘要
In the past decade, there has been tremendous progress in the development of unmanned aerial vehicles (UAVs), also called drones. While first products were targeted at consumers, solutions for industrial use cases (for example, inspection, monitoring, and surveillance) are the next frontier. First solutions on the market from companies such as SenseFly and Intel are promising but require an experienced pilot to navigate the UAV. The pilot is responsible for the high-level UAV mission planning and navigation in cluttered environments, while some of the currently available drones are equipped with distance sensors to support the human and automatically avoid local collisions with the infrastructure. The main goal of this proposal is to develop a fully-automated UAV monitoring solution for industrial sites. A combination of localization sensors will be integrated into the vehicle to localize the vehicle with high accuracy both indoors and outdoors. To monitor large industrial sites efficiently, we propose a multi-UAV strategy. A ground station coordinates and optimizes the flight paths of multiple drones and makes sure that they return back to the base station safely when they run low on battery or have any other technical problem. Furthermore, the University of Toronto (UofT) has deep knowledge in concrete integrity and aging assessment. In order for this knowledge to translate to a UAV-based solution, a lightweight sensor suite is researched and demonstrated in proof-of-concept experiments with the goal of achieving automated, remote concrete health assessment. Ontario Power Generation (OPG) is an important partner on this project and will provide direct input in terms of the requirements for a UAV-based monitoring solution.
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Safe and Efficient Robot Learning in Human-Centric Environments
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2022
  • 负责人:
    Schoellig, Angela
  • 依托单位:
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  • 批准号:
    DGDND-2021-04152
  • 项目类别:
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  • 资助金额:
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