Abstract: A method includes obtaining first traveling information of a vehicle from a sensor associated with the vehicle, and determining, based on the first traveling information, first location information of the vehicle and a first intermediate variable that is used in the determining the first location information. The method also includes determining a target precision estimation model from a plurality of pre-trained precision estimation models based on the first traveling information and the first intermediate variable. The plurality of pre-trained precision estimation models are obtained by training a machine learning model based on a training sample set. The method also includes inputting the first location information and the first intermediate variable into the target precision estimation model to obtain second location information of the vehicle and a precision error of the first location information relative to the second location information.