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Image-based taillight detection and recognition method

An identification method and a taillight technology, applied in the field of image processing, can solve the problem of low detection accuracy of taillights, and achieve the effects of reducing judgment dependence and training complexity, enhancing judgment efficiency, and efficient and accurate classification.

Active Publication Date: 2017-06-13
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0005] In order to solve the problem of low taillight detection accuracy caused by the excessive dependence of the existing taillight detection method on a single color space, and to make up for the vacancy of the existing method in the direction of taillight state recognition, the present invention proposes an image-based taillight detection and identification method

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  • Image-based taillight detection and recognition method

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Embodiment Construction

[0043] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0044] An image-based taillight detection and recognition method, such as figure 1 It is a flow chart of the method, including the following steps:

[0045] Step S1, image preprocessing is performed on the input image, and the gradient sharpening method is used to enhance the contrast of the original image. The gradient sharpening method adopts the Laplacian sharpening method, and the Laplacian kernel used is:

[0046]

[0047] And cut the original image, take the lower 4 / 5 part of the original image as the actual detection area of ​​the taillight; Figure 2a For the input original image, Figure 2b is the sharpened and cut image to be detected.

[0048] Step S2. Based on the color feature segmentation to obtain the tail light area, the information feature interaction method of multi-color space is used. The specific steps are as follows...

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Abstract

The invention discloses an image-based taillight detection and recognition method. The method comprises acquiring the real-time image of a vehicle ahead by using an ordinary camera and performing preprocessing by gradient sharpening and image cutting; performing adaptive threshold segmentation in combination with HSI and RGB color spaces and extracting the color information of taillights; extracting an outline by filtering denoising and morphological transformation, and constraining the same group of taillights by using a geometric condition; and hierarchically processing the state information based on a SVM and outputting the semantic explanation of the taillights of the vehicle ahead. The method, as an important link in an onboard advanced driving assistance system, has a good processing effect and a real-time processing ability for the detection of the taillights of the vehicle ahead and state information judgment in complex urban environment.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to an image-based taillight detection and recognition method. Background technique [0002] Road traffic safety is a global issue. How to use intelligent driving assistance systems to help drivers avoid safety risks has become a hot topic. The intelligent driving assistance system focuses on a comprehensive perception of the surrounding driving environment, such as providing the driver with information about the road, surrounding vehicles, traffic signs, etc., so as to help the driver have a safe plan for the car's driving route. At present, most of the relevant research focuses on road detection, traffic light recognition, pedestrian detection and obstacle recognition, but there are few studies on the influence of surrounding vehicles on the driving state of the vehicle. As an important means of expressing the route planning of the vehicle to other vehicles, the taillight informati...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62
CPCG06V20/584G06V10/267G06V10/56G06V2201/08G06F18/2411
Inventor 谢刚续欣莹谢新林白博郭磊
Owner TAIYUAN UNIV OF TECH
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