FIELD: computer engineering.
SUBSTANCE: disclosed is a computer-based method of determining a set of dynamic objects based on sensor data obtained by a sensor mounted on a vehicle, performed by an electronic device, connected to the sensor to receive sensor data therefrom and executing a machine learning algorithm (MLA), trained to detect objects based on the sensor data, and including: receiving sensor data on the surrounding area of the vehicle; formation by the MLA algorithm based on the sensor data a set of the feature vectors of the surrounding area; receiving vehicle data indicating the location of the vehicle on the map; generation of tensor by MLA algorithm based on set of feature vectors and vehicle data, including a grid representation of the surrounding area; formation by the MLA algorithm based on the tensor of the mobility mask indicating the grid cells occupied by at least one potential object in the grid, and a velocity mask indicative of the velocity associated with at least one potential object in the grid; and determining, by the MLA algorithm, based on the mobility mask and the speed mask of the set of dynamic objects in the surrounding area of the vehicle.
EFFECT: providing determination of a set of dynamic objects based on sensor data obtained by a sensor installed on a vehicle.
19 cl, 8 dwg
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Authors
Dates
2022-03-22—Published
2019-05-27—Filed