1. An automatic airview correction method comprising steps: moving a vehicle to an airview alignment pattern; capturing a plurality of airview alignment images from a surroundings of said vehicle; correcting distortion of said airview alignment images to obtain a plurality of corrected images; performing alignment compensation on said corrected images; searching for corner points of said corrected images and converting view points to obtain a plurality of view angle-converted images; and searching for corner points of said view angle-converted images, and seaming said view angle-converted images to form a panoramic airview and obtain parameters corresponding to said panoramic airview, wherein said step of searching for corner points further comprises steps: establishing a feature of said corner point to be searched for; defining a search area of said corner point to be searched for in said corrected image or said view angle-converted image; and searching for one said corner point matching said feature in said corrected image or said view angle-converted image, and wherein a reticule is formed on a corner point search square to partition said corner point search square into four blocks, and wherein a center of said reticule is arranged to coincide with a corner point in said corrected image or said view angle-converted image, and wherein gray levels of said blocks are defined as a future for recognizing said corner point.