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Intelligent lane line identification method under loop simulation condition

An intelligent recognition and lane line technology, applied in character and pattern recognition, computer parts, image data processing, etc., can solve problems such as unclear images and camera motion blur, and achieve high recognition accuracy, high robustness, The effect of simple algorithm

Active Publication Date: 2020-12-22
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, the source of the detection image is the camera mounted on the vehicle. Motion blur will occur in the camera when the vehicle is driving, resulting in unclear images.

Method used

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  • Intelligent lane line identification method under loop simulation condition
  • Intelligent lane line identification method under loop simulation condition
  • Intelligent lane line identification method under loop simulation condition

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Experimental program
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Embodiment

[0067] like figure 1 As shown in the present invention, a method for intelligent recognition of lane lines under ring simulation conditions comprises the following steps:

[0068] S1. Collect scene images containing lane lines in the loop simulation system, and preprocess the images, specifically:

[0069] S11. Collect the scene image including the lane line in the ring simulation system and intercept the image of the region of interest. In this embodiment, the preset camera on the intelligent network model car is used to obtain the scene image including the lane line in the ring simulation system. In the scene image, since the image of the lane line only exists in the lower half of the scene image, the lower half of the image is taken as the image of the region of interest, such as figure 2 shown; the interception formula is as follows:

[0070] image_roi=image(H / 2:H,1:W)

[0071] Where image_roi is the intercepted image, image is the collected original image, H is the he...

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Abstract

The invention discloses a lane line intelligent identification method under a loop simulation condition, and the method comprises the following steps: collecting a scene image containing a lane line in a loop simulation system, intercepting a region of interest from the collected image, and carrying out the filtering of the region of interest; performing color space conversion on the filtered image, and extracting a Cb single-channel image; image binaryzation: equally dividing the extracted Cb single-channel images left and right, respectively solving the mean value and standard deviation of the pixel values of the single channels of each row of the two parts of images, and setting a threshold value according to a 3 sigma principle to perform binaryzation of the single channels; carrying out image templating, and carrying out AND operation on the binarized image and the template image fitting the lane line position; carrying out lane line identification, and arrying out edge detectionand Hough straight line detection on the templated image. The method avoids the problem that lane line recognition is affected by outdoor strong light, and has the advantages of being high in recognition rate, simple in algorithm, high in real-time performance, stable, high in robustness and the like.

Description

technical field [0001] The invention belongs to the technical field of intelligent identification of lane lines, and in particular relates to an intelligent identification method of lane lines under ring simulation conditions. Background technique [0002] With the development of science and technology, the application of digital image processing is becoming more and more extensive. In addition to the enhancement of visual effects, there are more and more application scenarios for image recognition. With the digitization and intelligence of technology, there are more and more image recognition technologies. It is widely used in military and intelligent transportation fields. With the rapid development of intelligent transportation system (Intelligent Transport System, ITS), automatic lane recognition technology has already become one of the important research topics of image processing and pattern recognition technology in the field of intelligent transportation. It is espe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46G06T7/13G06T7/136
CPCG06T7/13G06T7/136G06T2207/20024G06T2207/10016G06V20/588G06V10/25G06V10/56Y02T10/40
Inventor 游峰宫云渤王海玮涂海清曹水金黄玲张荣辉
Owner SOUTH CHINA UNIV OF TECH
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