METHOD FOR TRAINING MACHINE LEARNING ALGORITHM FOR PREDICTING INTENT PARAMETER FOR OBJECT ON GROUND FOR USE IN UNMANNED VEHICLES Russian patent published in 2024 - IPC G06V10/764 G06V20/58 G06N20/00 B60R1/27 B60W60/00 

FIELD: machine learning.

SUBSTANCE: group of inventions is related to a method for training a machine learning algorithm to predict the intent parameter for an object on the ground for use in unmanned vehicles and a method for operating an unmanned vehicle. An unmanned vehicle moves through the terrain near the object. The method is comprised of allowing the server to access operational data associated with the training vehicle; generation by the server of a training set for training the machine learning algorithm. The operating data includes data indicating the training location, the state of the training vehicle, and the state of the training object at the training location. The training set has input information and an accessory-free label. The input information includes data indicating the training location and target states of the training vehicle and training object. The accessory-free label is based on data indicating the future states of the training vehicle and training object at the training location at the target time.

EFFECT: improved performance of unmanned or semi-autonomous vehicles is achieved.

20 cl, 8 dwg