In Year 1 of the CHASER effort, we put together an initial testbed consisting of S1000 octocopter platforms, an onboard NVIDIA JetsonXavier GPU, and an econ 4k e-CAM130CUXVR camera (see Figure 2). We successfully demonstrated a closed-loop, on-board,autonomous computer vision based detection, tracking, and controls system that is able to follow another sUAS in flight.Building off of the success of the Year 1 demonstration, in Year 2 we expanded our focus from just the airborn chase to include theinitiation of the execution chain, consisting of autonomous launch from a surveillance cue, out to the cue point, and an efficient search ofthe space in the absence of mid flight update cues. We also developed a GPS/radar track correlation algorithm in order to identify the chasedrone radar track and only send cues of the intruding drone.


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    Titel :

    Collaborative-UAS for Hostile Attribution, Surveillance, Emplacement, and Reconnaissance (CHASER): FY22 HP/ATC/Energy Program


    Beteiligte:
    V. H. Goodwin (Autor:in) / L. E. Alvarez (Autor:in) / K. W. Quigley (Autor:in) / J. J. Yao (Autor:in) / J. E. Funk (Autor:in) / D. Jansky (Autor:in) / Y. S. Maclara (Autor:in)

    Erscheinungsdatum :

    2023


    Format / Umfang :

    40 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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