We present an approach for protected contingency online planning in high-risk environments with strict regulatory boundary conditions. For this purpose, we integrate a deterministic online planning method into a UAM path planning framework, which operates within precomputed convex regions of obstacle-free space. As part of an offline planning phase, a database of trajectories and convex, obstacle-free regions along these trajectories are computed. During the online phase, transitions between any two preplanned trajectories inside the same region can be computed using a planning method with performance-guaranteed maneuvres. Within a given envelope of environmental disturbances, our method guarantees to contain the flight path inside its convex region, while ensuring deterministic attributes. We demonstrate the method in a scenario representing the intended application and give estimations for offline computation time on desktop-grade hardware.


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    Titel :

    Protected Online Path Planning for UAVs over Congested Areas Within Convex Regions of Obstacle-Free Space


    Beteiligte:


    Erscheinungsdatum :

    2021-10-03


    Format / Umfang :

    3129409 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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