Title:
Multi-UAS path-planning for a large-scale disjoint disaster management
Multi-UAS path-planning for a large-scale disjoint disaster management
Author(s)
Choi, Younghoon
Choi, Youngjun
Briceno, Simon
Mavris, Dimitri N.
Choi, Youngjun
Briceno, Simon
Mavris, Dimitri N.
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Abstract
A UAS-based disaster management method has been adopted to monitor the disaster impact and protect human lives since it can be rapidly deployed, execute an aerial imaging mission, and provide a cost-efficient operation. In the case of a wildfire disaster, a disaster management is highly complex because of large-scale wildfires that can occur simultaneously and disjointly in a large area. In order to effectively manage these large-scale wildfires, it requires multiple UAS with multiple ground stations. However, conventional UAS-based management methods relies on a single ground station that can have a limitation to handle the large-scale wildfire problem. This paper presents a new path-planning framework for UAS operations including a fleet of UAVs and multiple ground stations. The framework consists of two parts: creating coverage paths for each wildfire and optimizing routes for each UAV. To test the developed framework, this paper uses representative wildfire scenarios in the State of California.
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2019-06
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Paper