The Scalable Traffic Management Emergency Response Operations (STEReO) project aims to incorporate unmanned aerial systems (UAS) into wildfire incident response to safely quicken response times, improve operator awareness, and scale-up aircraft operations.Autonomous UAS can be used to relieve human operators of dull, dirty, and dangerous tasks such as checking for re-ignitions and geo-locating fires. To geo-locate fires, the UAS must be able to detect whether a fire is present and also have the necessary information to stamp a location. Furthermore, the UAS should be able to track the fire front to determine the extent of the fire. This study presents a fire front detection and tracking methodology for an autonomous small UAS (sUAS). The methodology is evaluated in simulation.


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    Titel :

    Fire Front Detection and Tracking for Autonomous sUAS in STEReO


    Beteiligte:
    Joshua Baculi (Autor:in) / Corey Ippolito (Autor:in)

    Kongress:

    AIAA Science and Technology Forum and Exposition (2021 AIAA SciTech Forum) ; 2021 ; Nashville, TN, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch