1. A vehicular lane line data processing method, comprising: acquiring at least two consecutive original images of a vehicular lane line and positioning data of the original images; calculating, using a deep neural network model, a pixel confidence for a conformity between a pixel characteristic in the original images and a vehicular lane line characteristic; determining an outline of the vehicular lane line from the original images and using the outline of the vehicular lane line as a candidate vehicular lane line; calculating a vehicular lane line confidence of the candidate vehicular lane line based on the pixel confidences of pixels in the candidate vehicular lane line; filtering the candidate vehicular lane line based on the vehicular lane line confidence of the candidate vehicular lane line; recognizing, for the filtered vehicular lane line, attribute information of the vehicular lane line; and determining map data of the vehicular lane line based on the attribute information of the vehicular lane line and the positioning data during shooting of the original images.