Real-time traffic light recognition method based on space-time correlation and priori knowledge

Abstract

The invention provides a real-time traffic light recognition method based on space-time correlation and priori knowledge, and belongs to the field of traffic information detection in the intelligent transportation industry. The method includes the steps that firstly, regions of interest are positioned on an original image through the priori knowledge, and the regions unrelated to a traffic light are filtered out through empirical values; secondly, the red region and the green region of the traffic light are extracted and filtered on this basis through shape features; thirdly, sub-regions obtained through filtering are read in, the HOG features of the sub-regions are sequentially extracted, and a traffic light sample is trained through a classifier; fourthly, the current traffic light is recognized according to a discrimination function of the classifier, wherein if the front light is green, driving can be achieved, if the front light is red, a parking signal is sent out, and if both the green front light and the red front light exist, whether driving can be achieved or not is determined according to the space-time correlation information and lanes where vehicles are located. The method conforms to the detection and recognition characteristics of the traffic light, information of the traffic light can be accurately detected in real time, and the method is used in an intelligent vehicle and assists in correct and safe driving of the intelligent vehicle.

Description

technical field [0001] The invention is a real-time dynamic signal light identification method based on temporal-spatial association and prior knowledge by using video images, and belongs to the field of traffic information detection in the intelligent traffic industry. Background technique [0002] With the rapid development of society and economy, intelligent vehicles are getting more and more attention. The reasons are as follows: smart vehicles can replace drivers, reduce the occurrence of traffic accidents, and even make it possible for people with color blindness and color weakness to drive cars. For the driving of vehicles, it is necessary to recognize the color of traffic lights accurately and in real time at intersections. Therefore, there is still room for improvement and improvement in real-time dynamic traffic light detection and recognition for unmanned driving. [0003] To solve this problem, first of all, it is necessary to be able to obtain the approximate ...

AI Technical Summary

Problems solved by technology

This method has a certain accuracy in detection, but the real-time performance and wide applicability are not strong, and it is not suitable for smart cars.

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