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arXiv 1803.07926cs.RO

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

University of Nevada, Reno(内华达大学里诺分校);NASA Ames Research Center(美国国家航空航天局艾姆斯研究中心)

Huy Xuan Pham, Hung Manh La, David Feil-Seifer, Matthew Dean

英文摘要:

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 that will likely spread next. Lack of information of the fire front causes many accidents. Using Unmanned Aerial Vehicles (UAVs) to cover wildfire is promising because it can replace humans in hazardous fire tracking and significantly reduce 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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