METHOD FOR AUTOMATIC CONTROL OF VEHICLE AND METHOD FOR TRAINING LANE CHANGE INTENTION PREDICTION NETWORK

The present disclosure provides a method for automatic control of a vehicle and a method for training lane change intention prediction network. The method includes receiving a plurality of types of vehicle traveling information of a target vehicle; inputting the plurality of types of vehicle traveling information of the target vehicle into a lane change intention prediction network, the lane change intention prediction network comprising a plurality of sub-networks; performing, through the sub-networks, feature extraction on the types of vehicle traveling information respectively, and outputting feature extraction results; performing feature fusion on the feature extraction results outputted by the sub-networks, and predicting a lane change intention of the target vehicle according to a feature fusion result; and updating an autonomous driving route of a current vehicle according to the lane change intention of the target vehicle.