METHOD OF CONTROLLING ON-BOARD SYSTEMS OF UNMANNED VEHICLES USING NEURAL NETWORKS BASED ON ARCHITECTURE OF TRANSFORMERS Russian patent published in 2025 - IPC B60W60/00 G06N3/02 G06V10/82 G08G1/16 

FIELD: physics.

SUBSTANCE: invention relates to a method of controlling on-board systems of unmanned vehicles using neural networks based on a transformer architecture. Method includes combined processing of output signals of unmanned vehicle sensors. Neural network is trained directly on the input signals of the sensors and outputs the required control signals based on the studied patterns. Architecture of the convolutional neural network directly maps input raw image pixels to control commands. Synthesis network is the basis of the model architecture and is responsible for extraction of environmental characteristics. Path prediction network receives the feature vectors provided by the synthesis network and predicts the next multiple route points for the vehicle. Synthesis network is divided into an image branch and a bird's-eye view branch. Characteristic maps from both branches are transmitted to the input of the transformer module, which performs combined processing of modality branch data.

EFFECT: improving the accuracy and performance of on-board systems of unmanned vehicles.

2 cl, 4 dwg