FIELD: vehicles; controlling.
SUBSTANCE: invention relates to a method of controlling actions of an unmanned vehicle. In the method, a vehicle is connected to a lidar system and to an electronic device comprising a processor capable of collecting data from a plurality of localization data sources to determine the location of the unmanned vehicle on a geographic region map representation, wherein the method is implemented by a processor and at moments of actions of an unmanned vehicle, corresponding to time stamps, when the unmanned vehicle is in the current location of a geographical region, provides for: formation by a processor using a localization algorithm of the probable location of the unmanned vehicle based on the point cloud obtained by the lidar system, a map representation and an initial approximation of the current location of the unmanned vehicle on the map representation; generating, by a processor, using a machine learning algorithm, a parameter indicating the ability of the localization algorithm to generate converging probable locations of the unmanned vehicle in the considered part of the map representation, which includes the current location, under various conditions; determining, by the processor, whether the probable location of the unmanned vehicle, generated by the localization algorithm, is a reliable source of localization data in the considered part of the map based on the parameter; determining, by the server, the location of the unmanned vehicle based on data from a plurality of sources using data collected from a reduced plurality of localization data sources, which is a plurality of localization data sources excluding a localization algorithm; and controlling, by the processor, the actions of the unmanned vehicle, in which the current location of the unmanned vehicle is a location determined on the basis of data from a plurality of sources.
EFFECT: increasing the reliability of control of an unmanned vehicle by more accurately determining the current location of the unmanned vehicle.
1 cl, 10 dwg
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Authors
Dates
2025-03-14—Published
2024-05-17—Filed