Methods and systems for determining altitudes for a vehicle to travel

    公开(公告)号:US09651382B1

    公开(公告)日:2017-05-16

    申请号:US14486829

    申请日:2014-09-15

    CPC classification number: G01C21/20

    Abstract: Methods and systems for determining altitudes for a vehicle to travel are provided. In one example, a method comprises receiving information indicating a desired location for a balloon and a time period for traveling to the desired location. A region may include the desired location, and the region can be divided into a plurality of cells. The method may include determining estimated cell locations that can be reached by the balloon over a time interval by following a wind at a given altitude. The method may also include assigning a cost value to each cell based on a proximity of the estimated cell locations to a cell including the desired location. The method may further include determining for each cell an altitude for the balloon to travel based on the assigned cost value, and storing information indicating the cost value and the altitude for the balloon to travel.

    SYSTEMS AND METHODS FOR SIMULATING WIND NOISE MODELS

    公开(公告)号:US20190035298A1

    公开(公告)日:2019-01-31

    申请号:US15663117

    申请日:2017-07-28

    CPC classification number: G09B9/24 B64B1/40 G01C21/20 G05D1/105

    Abstract: Disclosed are systems and methods for simulating a flight path of an aerial vehicle. An exemplary method includes receiving a starting point, receiving prevailing wind patterns, generating a smooth model of wind vectors based on the prevailing wind patterns, generating a noise model including one or more submodels simulating regional differences in prevailing wind patterns, determining a wind vector at the starting point, determining a noise value at the starting point, applying the noise value to the wind vector at the starting point to generate a noise added wind vector, determining displacement based on the noise added wind vector over a time step, and determining a waypoint based on the displacement, wherein determining a noise value at the starting point includes determining a portion of the noise value contributed by each submodel, and determining the noise value by calculating a weighted mean of noise values contributed by each submodel.

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