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Multiple UAV Cooperation for Wildfir...

Lin, Zhongjie.

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Multiple UAV Cooperation for Wildfire Monitoring.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multiple UAV Cooperation for Wildfire Monitoring./
作者:	Lin, Zhongjie.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	142 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Contained By:	Dissertation Abstracts International79-05B(E).
標題:	Aerospace engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10624138
ISBN:	9780355532005

Multiple UAV Cooperation for Wildfire Monitoring.
Lin, Zhongjie.

Multiple UAV Cooperation for Wildfire Monitoring. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 142 p.

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.

Thesis (Ph.D.)--University of Toronto (Canada), 2017.

Wildfires have been a major factor in the development and management of the world's forest. An accurate assessment of wildfire status is imperative for fire management. This thesis is dedicated to the topic of utilizing multiple unmanned aerial vehicles (UAVs) to cooperatively monitor a large-scale wildfire. This is achieved through wildfire spreading situation estimation based on on-line measurements and wise cooperation strategy to ensure efficiency.

ISBN: 9780355532005Subjects--Topical Terms:

1002622
Aerospace engineering.

Multiple UAV Cooperation for Wildfire Monitoring.
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500 $a Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
500 $a Adviser: Hugh H. T. Liu.
502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2017.
520 $a Wildfires have been a major factor in the development and management of the world's forest. An accurate assessment of wildfire status is imperative for fire management. This thesis is dedicated to the topic of utilizing multiple unmanned aerial vehicles (UAVs) to cooperatively monitor a large-scale wildfire. This is achieved through wildfire spreading situation estimation based on on-line measurements and wise cooperation strategy to ensure efficiency.
520 $a First, based on the understanding of the physical characteristics of the wildfire propagation behavior, a wildfire model and a Kalman filter-based method are proposed to estimate the wildfire rate of spread and the fire front contour profile. With the enormous on-line measurements from on-board sensors of UAVs, the proposed method allows a wildfire monitoring mission to benefit from on-line information updating, increased flexibility, and accurate estimation. An independent wildfire simulator is utilized to verify the effectiveness of the proposed method.
520 $a Second, based on the filter analysis, wildfire spreading situation and vehicle dynamics, the influence of different cooperation strategies of UAVs to the overall mission performance is studied. The multi-UAV cooperation problem is formulated in a distributed network. A consensus-based method is proposed to help address the problem. The optimal cooperation strategy of UAVs is obtained through mathematical analysis. The derived optimal cooperation strategy is then verified in an independent fire simulation environment to verify its effectiveness.
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