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Traffic light identification method and device

A technology of traffic lights and light boards, which is applied in the field of traffic safety and can solve problems such as the inability to accurately identify traffic lights

Inactive Publication Date: 2014-09-17
CHERY AUTOMOBILE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that traffic lights cannot be accurately identified in the prior art, an embodiment of the present invention provides a method and device for identifying traffic lights

Method used

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Experimental program
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Embodiment 1

[0062] The embodiment of the present invention provides a traffic signal light identification method, which is suitable for a safety early warning system or an unmanned driving system of an automobile. figure 1 , the method includes:

[0063] Step 101 : collecting an original image, which is captured by a vehicle-mounted camera.

[0064] The in-vehicle camera is installed in the front of the car and collects images of urban roads as the input information of this method. The in-vehicle camera should have the ability of adaptive exposure to enhance the adaptability of the traffic signal recognition method to the light intensity.

[0065] Step 102: Perform threshold segmentation on the three channel values ​​of the original image in the red, green, and blue RGB space to obtain a binary image of the black area.

[0066] Among them, RGB is a kind of color space. RGB obtains various colors through the changes of the three color channels of red (R), green (G), and blue (B) and the ...

Embodiment 2

[0079] The embodiment of the present invention provides a traffic signal light identification method, which is suitable for a safety early warning system or an unmanned driving system of an automobile. figure 2 , the method includes:

[0080] Step 201 : collecting an original image, which is captured by a vehicle-mounted camera.

[0081] The in-vehicle camera is installed in the front of the car and collects images of urban roads as the input information of this method. The in-vehicle camera should have the ability of adaptive exposure to enhance the adaptability of the traffic signal recognition method to the light intensity.

[0082] Step 202: Perform threshold segmentation on the three channel values ​​of the original image in the red, green, and blue RGB space to obtain a binary image of the black area.

[0083] Among them, RGB is a kind of color space. RGB obtains various colors through the changes of the three color channels of red (R), green (G), and blue (B) and the...

Embodiment 3

[0169] An embodiment of the present invention provides a traffic signal light identification device, which can be integrated in a safety early warning system or an unmanned driving system of a car, see image 3 , the device includes:

[0170] The acquisition module 301 is used to acquire an original image, and the original image is captured by a vehicle-mounted camera.

[0171] The vehicle-mounted camera is installed at the front of the car, and collects images of urban roads as the input information of the device. The in-vehicle camera should have the capability of adaptive exposure to enhance the adaptability of the traffic light recognition device to the light intensity.

[0172] The first processing module 302 is configured to perform threshold segmentation on the three channel values ​​of the original image in the red, green and blue RGB space to obtain a binary image of the black area.

[0173] Among them, RGB is a kind of color space. RGB obtains various colors throug...

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Abstract

The invention discloses a traffic light identification method and device, and belongs to the field of traffic safety. The traffic light identification method comprises the steps that an original image is collected; threshold segmentation is conducted on three channel values of the original image in an RGB space to obtain a black region binary image; according to the characteristics of a light panel, the light panel area is positioned in the black region binary image; the portion, in the light panel region, of the original image is converted from the RGB space to a YCbCr space to obtain a red and yellow region binary image and a green region binary image through segmentation; according to the characteristics of traffic lights, traffic light candidate regions are determined on the red and yellow region binary image and the green region binary image; graying and normalization are conducted on the portion, in the traffic light candidate regions, of the original image, and Gabor wavelet transformation is conducted on the image obtained after graying and normalization to obtain a Gabor wavelet image; the amplitude of the Gabor wavelet image is sampled to obtain a feature vector; the similarity between the feature vector and a training sample is compared to determine the types of the traffic lights.

Description

technical field [0001] The invention relates to the field of traffic safety, in particular to a traffic signal light identification method and device. Background technique [0002] In traffic accidents, due to the high proportion of motor vehicles running red lights at traffic intersections, and the current research on unmanned vehicles and people's attention to active safety products, the automatic identification of traffic lights has become a research hotspot at home and abroad. [0003] In most urban road environments in China, traffic signal lights are installed at traffic intersections to indicate traffic, generally more than one light board, and each light board is embedded with three signal lights, corresponding to red, yellow, and green. The shapes of traffic lights include circle, left arrow, right arrow, up arrow, and most traffic lights are 300mm or 400mm in diameter. When photographing traffic lights at intersection stop lines, traffic lights occupy fewer pixels...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 谷明琴陈军孙锐王海
Owner CHERY AUTOMOBILE CO LTD
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