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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    Titel :

    Multi-UAS Path-Planning for a Large-scale Disjoint Disaster Management


    Beteiligte:
    Choi, Younghoon (Autor:in) / Choi, Youngjun (Autor:in) / Briceno, Simon (Autor:in) / Mavris, Dimitri N. (Autor:in)


    Erscheinungsdatum :

    01.06.2019


    Format / Umfang :

    1103641 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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