The application provides a trajectory prediction method and device,
electronic equipment and storage medium. The method comprises the following steps: obtaining a
model prediction trajectory of a risk obstacle target located within a preset distance range of a vehicle; obtaining a first intention corresponding to the
model prediction trajectory; generating a rule prediction trajectory and a second intention of the risk obstacle target based on information of the risk obstacle target and a preset rule; and determining a final prediction trajectory of the risk obstacle target from the
model prediction trajectory and the rule prediction trajectory based on the first intention and the second intention. The generation of the rule prediction trajectory and the model prediction trajectory is two independent steps, the intentions are not confused, the two trajectories only have a replacement relationship and no fusion relationship, the rule does not directly modify the model prediction trajectory, and
controllability is strong. In addition, the scene does not need to be recognized, the map does not need to be labeled, and the specialized model does not need to be used, so that the development, training and deployment costs are not consumed, and only the
deep learning model needs to be continuously iterated to improve the upper limit of the model.