Road traffic sign identification method with multiple-camera integration based on DS evidence theory

Abstract

The present invention relates to a road traffic sign identification method with multiple-camera integration based on the DS evidence theory, belonging to the technical field of image processing. According to the method, five types of road traffic indication signs which are going straight, turning left, turning right, going straight and turning left, and going straight and turning right are mainly identified, and the method is divided into two parts which are training and testing. In a training stage, the direction gradient histogram feature of a training sample is extracted, thus a sample characteristic and a category label are introduced into a support vector machine to carry out classification training. In a testing stage, an interested region is obtained through image pre-processing, the direction gradient histogram feature of the interested region is extracted and is sent into a classifier to carry out classification, according to the credibility of the sign to be identified obtained by the classifier belonging to each category, and combined with a DS evidence theory data integration method and a maximum credibility decision rule, a final sign identification result is determined. According to the invention, a multiple-camera data integration method based on the DS evidence theory is employed, the information of multiple cameras are integrated to obtain a final identification result, and the road traffic signs can be stably and efficiently identified.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a multi-camera fusion road traffic sign recognition method based on DS evidence theory. Background technique [0002] As an important part of the intelligent transportation system, smart cars will play an increasingly important role in people's lives. As an important part of intelligent vehicle environment perception, road traffic sign recognition system plays an important role in intelligent transportation system. With the development of intelligent vehicle technology, the intelligent traffic decision-making system needs to know the relevant information of the vehicle's environment in order to make correct decisions. [0003] As we all know, at intersections, different lanes have different functions, some are responsible for turning left and others are responsible for turning right. The lane a car drives directly determines the direction of the car. The existing navigati...

AI Technical Summary

Problems solved by technology

The existing research on road traffic sign detection and recognition mainly focuses on roadside traffic signs, but there are few studies on road traffic signs that also carry a large amount of road information, and most of the research is based on single-camera detection and recognition. larger

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