A Distributed Control Framework for a Team of Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

被引:0
|
作者
Pham, Huy X. [1 ]
La, Hung M. [1 ]
Feil-Seifer, David [2 ]
Deans, Matthew [3 ]
机构
[1] Univ Nevada, Adv Robot & Automat ARA Lab, Reno, NV 89557 USA
[2] Univ Nevada, Dept Comp Sci & Engn, Reno, NV 89557 USA
[3] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas it will likely spread next. Lack of information of the fire front causes many accidents. Using Unmanned Aerial Vehicles (UAV) to cover wildfire is promising because it can replace humans for fire tracking, reducing hazards and saving operation costs. In this paper we propose a distributed control framework designed for a team of UAVs that can closely monitor a wildfire in open space, and precisely track its development. The UAV team, designed for flexible deployment, can effectively avoid in-flight collisions and cooperate well with neighbors. They can maintain a certain height level to the ground for safe flight above fire. Experimental results are conducted to demonstrate the capabilities of the UAV team in covering a spreading wildfire.
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页码:6648 / 6653
页数:6
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