Vision-based automated aerial refueling requires a relative positioning solution capable of real time updates between the tanker and receiver. The processing time required for modern approaches are dominated by an iterative point alignment phase. This work presents an accelerated alignment variant which utilizes parallelization and Delaunay Triangulation to achieve real time estimates.


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    Titel :

    Automated aerial refueling: Parallelized 3D iterative closest point: Subject area: Guidance and control


    Beteiligte:
    Piekenbrock, Matt (Autor:in) / Robinson, Jace (Autor:in) / Burchett, Lee (Autor:in) / Nykl, Scott (Autor:in) / Woolley, Brian (Autor:in) / Terzuoli, Andrew (Autor:in)


    Erscheinungsdatum :

    01.07.2016


    Format / Umfang :

    295037 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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