Smart Rescue Drones to Find Snowslide Victims

DA COSTA ABREU, Marjory and SILVEIRA SILVA, Raul (2018). Smart Rescue Drones to Find Snowslide Victims. In: 18th Brazilian Symposium on Information and Computational Systems Security (SBSeg 2018), Natal, Brazil, 22-25 Oct 2018. Brazilian Computer Society (SBC), 181-184.

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    Abstract

    In the approach of using autonomous robots to find victims on risk zones, there are specific ones that can reach the victims faster, the Unmanned Autonomous Vehicles (UAVs), better known as Drones. For this to happen, artificial intelligence algorithms were designed to teach them to search for the victims faster. On this paper, a simulation of three drones flying on different environments was made based on a Hidden Markov Models with KNN classifier as an artificial intelligence approach for the learning. The results revealed that for some environments, based on memory to store the paths and the classification of the objects, different hardware settings for the drones can be needed.

    Item Type: Conference or Workshop Item (Paper)
    Page Range: 181-184
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 07 Jan 2020 14:11
    Last Modified: 08 Jan 2020 09:45
    URI: http://shura.shu.ac.uk/id/eprint/25619

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