Control strategy generation method and system of intelligent network connection automobile

The invention discloses a control strategy generation method and system for an intelligent networked automobile. The method comprises the following steps: acquiring a signal lamp state monitoring video of a front traffic signal lamp acquired by a camera deployed on the intelligent networked automobile; performing feature extraction and feature interaction on the signal lamp state monitoring video to obtain a signal lamp-vehicle time sequence interaction feature vector; and on the basis of the signal lamp-vehicle time sequence interaction feature vector, whether a speed reduction passing prompt signal is generated or not is determined. The driving state of the vehicle is intelligently optimized by combining the state of the signal lamp, the control strategy of the intelligent network connection vehicle is generated, and the driving efficiency and safety of the vehicle are improved. 本申请公开了一种智能网联汽车的控制策略生成方法及系统，其获取由部署于智能网联汽车的摄像头采集的前方交通信号灯的信号灯状态监控视频；对所述信号灯状态监控视频进行特征提取与特征交互以得到信号灯-车辆时序交互特征向量；以及，基于所述信号灯-车辆时序交互特征向量，确定