Traffic sign detection and identification method based on cascaded network

Abstract

The invention discloses a traffic signal detection and identification method based on a cascaded network, and relates to the technical field of image processing and sign identification. The method comprises the following steps that S1) an original image is collected; S2) the original image is detected to obtain a candidate area which may include a traffic signal or lamp, the trained three-order cascaded network composed of a 12-net, 24-net and 48-net is used for detection in a detection process; and S3) the candidate area is identified, the candidate area without the traffic sign or lamp is eliminated, and concrete types of traffic signs and lamps are obtained. The traffic signs and lamps can be detected at the same time, and the problem, in a present traffic sign detection and identification technology, that missing detection is caused by influence of illumination on a color space, small difference between the traffic signal and the background environment and connection of multiple traffic signs can be solved.

Description

technical field [0001] The invention relates to the technical fields of image processing and sign recognition, in particular to a traffic sign detection and recognition method based on a cascade network. Background technique [0002] At present, autonomous driving technology continues to develop. Computer vision plays an important role in autonomous driving technology. The detection and recognition of traffic signs and traffic lights is an important part of visual recognition. Where previous methods focus on the detection of traffic signs or traffic lights respectively, we propose a new framework that can detect traffic lights and traffic signs simultaneously. The difficulty of detection is that the proportion of the object to be detected in the picture is very small, which increases the difficulty of detection, and the background environment of the object to be detected is complex. There are three methods in the existing traffic sign detection and recognition technology....

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to: propose a new detection method that can detect traffic signs and traffic lights at the same time, and at the same time solve the problem that the color space is easily affected by light in the existing traffic sign detection and recognition technology, resulting in missed detection, traffic signs and background. When the environment is not very different, it will cause missed detection, and the connection of multiple traffic signs will easily cause missed detection. The invention provides a traffic sign detection and recognition method based on a cascaded network

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