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Method for recognizing road traffic sign for unmanned vehicle

A technology for unmanned vehicles and road traffic, which is applied in the field of identification of road traffic sign information, and can solve problems such as poor practicability and complex calculations

Inactive Publication Date: 2012-07-04
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The more commonly used method for shape analysis of traffic signs is Hough transform and its extension. This method is computationally complex and can only detect circular signs, which is not very practical.

Method used

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  • Method for recognizing road traffic sign for unmanned vehicle
  • Method for recognizing road traffic sign for unmanned vehicle
  • Method for recognizing road traffic sign for unmanned vehicle

Examples

Experimental program
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Embodiment 1

[0102] like Figure 1-6 As shown, in order to recognize traffic signs, a template database for matching is pre-established and its features are extracted.

[0103] (1) Establish a database of six types of traffic sign shape templates: circle, inverted equilateral triangle, octagon, rectangle, and equilateral triangle. The shape template is normalized into a 50×50 image with a bilinear interpolation algorithm, and then its signature feature is extracted with the shape signature extraction algorithm in step (3) in the summary of the invention. Considering that the number of boundary points of the traffic sign shape is different, and the number of features of each template is also inconsistent, the length of the feature sequence of each template is changed to 360 by the interpolation algorithm, and then the feature sets of different shape classes can be obtained i=1,...,SampleNum s , where SampleNum s is the number of templates in the shape class, s ∈ {circle, inverted equila...

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Abstract

The invention discloses a method for recognizing a road traffic sign for an unmanned vehicle, comprising the following steps of: (1) changing the RGB (Red, Green and Blue) pixel value of an image to strengthen a traffic sign feature color region, and cutting the image by using a threshold; (2) carrying out edge detection and connection on a gray level image to reconstruct an interested region; (3) extracting a labeled graph of the interested region as a shape feature of the interested region, classifying the shape of the region by using a nearest neighbor classification method, and removing a non-traffic sign region; and (4) graying and normalizing the image of the interested region of the traffic sign, carrying out dual-tree complex wavelet transform on the image to form a feature vector of the image, reducing the dimension of the feature vector by using a two-dimension independent component analysis method, and sending the feature vector into a support vector machine of a radial basis function to judge the type of the traffic sign of the interested region. By using the method, various types of traffic signs in a running environment of the unmanned vehicle can be stably and efficiently detected and recognized.

Description

technical field [0001] The invention relates to a road traffic sign recognition method for unmanned vehicles, which is applied to the recognition of road traffic sign information. Background technique [0002] Real-time perception and recognition of the driving environment is one of the core issues of unmanned vehicles, and road traffic signs are an important part of the driving environment. The invention studies the rapid positioning and recognition method of traffic signs in dynamic scenes, detects and recognizes the traffic sign information that appears during vehicle driving, and can provide timely road environment information for unmanned vehicles to comply with traffic rules. By referring to the latest research results of human visual cognition mechanism, computer vision and pattern recognition theory, research and design a fast, automatic and robust traffic sign recognition system to provide strong support for the development of related theories and applications of un...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G08G1/01
Inventor 蔡自兴谷明琴黄振威何芬芬唐琎李仪易亮任孝平
Owner CENT SOUTH UNIV
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