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Lane detection method for improving Gabor transform and updating vanishing points

A lane detection and vanishing point technology, applied in the field of image processing, can solve the problems of inaccurate lane detection and poor real-time performance, and achieve the effect of reducing the amount of calculation, high accuracy, and overcoming poor real-time performance.

Active Publication Date: 2018-05-29
WUHAN FENJIN INTELLIGENT MACHINE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problem of inaccurate detection of unstructured road lanes and poor real-time performance in existing lane detection methods, and provides a lane detection method based on improved Gabor transformation and updated vanishing points, which improves the accuracy of unstructured roads. Detection accuracy and real-time

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  • Lane detection method for improving Gabor transform and updating vanishing points
  • Lane detection method for improving Gabor transform and updating vanishing points
  • Lane detection method for improving Gabor transform and updating vanishing points

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Embodiment Construction

[0060] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0061] Such as figure 1 As shown, the algorithm flow chart of the embodiment of the present invention, the specific implementation steps are as follows:

[0062] Step 1, input the original road image;

[0063] Step 2, perform grayscale preprocessing on the original image, the specific implementation method is

[0064] I=0.3R+0.59G+0.11B (1)

[0065] Among them, R, G, and B indicate that the three channels of the input color image are red, green, and blue respectively, and I is the grayscale image output after grayscale processing;

[0066] Step 3, using the improved two-dimensional Gabor filter to extract image texture features in multiple scales and directions, such as figure 2 Shown is the feature image obtained after the image is processed by Gabor filtering;

[0067] The implementation of the improved two-dimensional Gabor filtering ...

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Abstract

The invention relates to a lane detection method for improving Gabor transform and updating vanishing points. The lane detection method for improving the Gabor transform and updating the vanishing points includes the steps that 1, an original lane image is input; 2, graying pretreatment is conducted on the original image; 3, an improved two-dimensional Gabor filter is adopted to extract gray levelimage texture features in multiple scales and multiple directions; 4, principal component analysis is conducted on the image texture features to obtain texture features which have large influences onthe vanishing points; 5, according to the texture features determined in the step 4, a soft voting method is adopted to detect an initial vanishing point; 6, according to the initial vanishing pointdetected in the step 5, a histogram based on angle deviation and chromatic aberration is adopted to update the initial vanishing point and determine a lane border line; 7, according to a new vanishingpoint and the lane border line in the step 6, a lane range is determined. According to the lane detection method for improving the Gabor transform and updating the vanishing points, by adopting the improved Gabor filter, the accuracy of texture feature extraction is improved, and the problem is solved that traditional Gabor filters are low in real-time performance; the mode of adopting the histogram to update the vanishing points and detect the lane border line is convenient and high in accuracy.

Description

technical field [0001] The invention belongs to the field of image processing and is applied to a lane detection method of an automatic assisted driving system. The lane is detected by an improved Gabor transformation and a method of updating a vanishing point, thereby improving the accuracy and real-time performance of unstructured road lane detection. Background technique [0002] Lane detection technology is widely used in the field of advanced assisted driving, and is the basic part of Lanekeeping assist system and Lane departure warning system. In the field of advanced assisted driving, lane detection technology is often used in structured roads, and the detection effect is obvious. Affected by the progress of urbanization, unstructured roads in my country's cities and towns account for a large part, and the lane detection of unstructured roads has always been It has always been an important research content. [0003] There are many kinds of existing lane detection tech...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/588
Inventor 王淑青刘宗张子蓬潘健毛月祥周博文蔡颖婧王珅马烨
Owner WUHAN FENJIN INTELLIGENT MACHINE CO LTD
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