Ground traffic sign real-time detection method based on intelligent driving

The invention discloses a ground traffic sign real-time detection method based on intelligent driving, and belongs to the field of traffic information detection in the intelligent traffic industry. The method comprises the steps of obtaining an image Src of a road in front of an intelligent vehicle in a real-time mode, conducting cutting, grey-level transformation, Gaussian filtering and binarization processing on the obtained original image Src to obtain a binary image Src_bw, meanwhile, and reading in a ground traffic sign template image temp_i prepared in advance, wherein each template can find one best matching area corresponding to the template in the Src_bw through template matching; cutting the templates to be stored as new images dst_i, and conducting subtraction on the temp_i and the corresponding dst_i to obtain new images diff_i; conducting statistic on white pixel number diff_i_Sum in each diff_i, wherein the template corresponding to the diff_i with the smallest white pixel number is most similar to a ground sign; when the diff_i_Sum is smaller than the set threshold value, considering that the ground traffic sign in the template exists in the Src_bw. The ground traffic sign real-time detection method is applicable for the intelligent driving in complex city road environment.