TRAINING METHOD FOR MAP-GENERATION LARGE MODEL AND MAP GENERATION METHOD

A training method for a map-generation large model is provided, including: obtaining a training sample set, each training sample in the training sample set including a road top-view sample, a first vectorized point set and a first category of a first road element, and a first mask of the road top-view sample; inputting the road top-view sample into an initial map-generation large model, and correspondingly outputting a second vectorized point set and a second category of the second road element, and a second mask of the road top-view sample; determining a model loss according to a matching result between the second and first road element, the first vectorized point set, the first category, the first mask, the second vectorized point set, the second category and the second mask, and adjusting a parameter of the initial map-generation large model according to the model loss to obtain a map-generation large model.