Automobile and road speed limit sign identification method and device

Abstract

The invention discloses an automobile and road speed limit sign recognition method and device, and the method comprises the following steps of obtaining a road speed limit sign image, carrying out theequalization processing of the road speed limit sign image, obtaining a corresponding equalization image, and enabling the road speed limit sign image to be a grayscale image; carrying out binarization processing on the equalization image to obtain a binary image with a foreground pixel point and a background pixel point of the road speed limit signboard; carrying out segmentation processing on the binary image according to the foreground pixel points to obtain a character sequence image with speed limit value characters; and respectively carrying out matching calculation on the character sequence image and the plurality of character template images to obtain a speed limit value corresponding to the road speed limit signboard. According to the road speed limit sign recognition method, theaccurate recognition of the speed limit value corresponding to the road speed limit sign can be achieved, and the driving safety can be improved.

Description

technical field [0001] The invention relates to the field of automobiles, in particular to a road speed limit sign identification method, a road speed limit sign identification device and an automobile. Background technique [0002] The identification of road speed limit signs belongs to the technical field of automotive electronics related to safe driving of vehicles. At present, the identification methods of road speed limit signs are mainly divided into two categories: [0003] The first category: matching methods based on GPS positioning system and map road data. The method compares the longitude and latitude information of the speed limit sign in the pre-stored map road data according to the longitude and latitude coordinate information of the current GPS positioning of the vehicle and the driving direction of the vehicle. When it is determined that the vehicle is currently traveling to the road section with the speed limit sign information, the vehicle owner is promp...

AI Technical Summary

Problems solved by technology

[0005] However, the first type of method relies on map road data. If the map data is not updated in time or the data is incomplete, it cannot prompt the owner of the speed limit information.

The second type of method relies too much on the binarization step. Due to weather and lighting, the actual road conditions cannot separate the foreground and background pixels well when binarizing the image in some cases, resulting in the inability to segment the connected domain in the latter step. The speed limit value cannot be obtained correctly by splitting out single characters

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