Traffic sign detection method and device, computer equipment and storage medium

Abstract

The invention relates to a traffic sign detection method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining a to-be-detected road image containing a target traffic sign; obtaining a matched reference road image containing the target traffic sign from the historical road image set based on the position information of the to-be-detected road image; performing feature extraction on the to-be-detected road image and the reference road image to obtain a target feature set corresponding to the to-be-detected road image and a reference feature set corresponding to the reference road image; calculating the matching degree of the target feature set and the reference feature set, and determining the consistency detection result of the target traffic sign in the to-be-detected road image and the reference road image based on the matching degree; and determining a target detection state of the target traffic sign in the to-be-detected road image based on the consistency detection result. By adopting the method, the traffic sign detection accuracy and efficiency can be improved, and the to-be-detected road image with the changed target detection state of the target traffic sign can be used for updating a map.

Description

Technical field[0001]The present application relates to the field of computer technology, and more particularly to a traffic identification detection method, a device, a computer device, and a storage medium.Background technique[0002]Traffic logo is an important traffic element that indicates the direction of travel of the vehicle and is an important part of road data. The map is used to realize the world, and the update of road data is the basis of its premise. The update of road data can be updated by the matching of the road image.[0003]In the conventional technique, the matching of the road image is mainly to extract the feature points in the image, and then use the geometric constraint to parse the feature points on the map, and when the matching point number exceeds a specific threshold, it is considered to match each other. However, the conventional method is simply considered to consider the overall similarity of the image pair, and it is easy to detect the case where the tr...

AI Technical Summary

Problems solved by technology

However, the traditional method simply considers the overall similarity of the image pair, and it is easy to fail to detect the mismatch of traffic signs in the image pair, resulting in low traffic sign detection accuracy.

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