Trajectory prediction method and device

Abstract

Provided are a trajectory prediction method and device, a storage medium, and a computer program to avoid low accuracy and low reliability of a prediction result in conventional trajectory prediction methods. A trajectory prediction neural network acquires input current trajectory data and current map data of current environment when a moving subject moves in the current environment. The current trajectory data and the current map data are expressed as a current trajectory point set and a current map point set in a high-dimensional space. A global scene feature is extracted according to the current trajectory point set and the current map point set. The global scene feature has a trajectory feature and a map feature of the current environment. Multiple prediction trajectory point sets of the moving subject and a probability corresponding to each prediction trajectory point set are predicted and output according to the global scene feature.