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In-loop simulation sand table lane line intelligent identification method for intelligent network connection model vehicle

A technology of intelligent recognition and lane lines, applied in character and pattern recognition, image data processing, instruments, etc.

Active Publication Date: 2021-02-05
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The main purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and propose an intelligent network-connected model car-in-the-loop simulation sand table lane line intelligent recognition method to solve the problem of lane line recognition of the simulated sand table lane reflection caused by the indoor strong light environment, And it has a certain universality for simulation model cars

Method used

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  • In-loop simulation sand table lane line intelligent identification method for intelligent network connection model vehicle
  • In-loop simulation sand table lane line intelligent identification method for intelligent network connection model vehicle
  • In-loop simulation sand table lane line intelligent identification method for intelligent network connection model vehicle

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Embodiment

[0097] Such as figure 1 As shown in the present invention, an intelligent network-connected model vehicle-in-the-loop simulation sand table lane line intelligent identification method includes the following steps:

[0098] S1. Obtain the original collected image containing the simulated sand table lane line, and perform image preprocessing;

[0099] S11. Intercepting the ROI of the image of interest, specifically:

[0100] Analyze the distribution characteristics of the lane lines in the original acquired image containing the simulated sand table lane lines, and establish an interception template according to the distribution characteristics; Figure 4 As shown, in this embodiment, the lane line part is mainly located in the lower half of the image, and the lane line template is as follows figure 2 shown;

[0101] First calculate the row number row, column number col, and channel number channel of the original captured image, and then intercept the simulated lane line imag...

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Abstract

The invention discloses an in-loop simulation sand table lane line intelligent identification method for intelligent network connection model vehicle which is characterized by comprising the followingsteps of carrying out image preprocessing, interested area interception, color space conversion and channel extraction. Performing automatic threshold segmentation; utilizing a geometric template toremove lane line reflection; processing the binary image after reflection removal, and positioning an inner side boundary line; carrying out affine transformation; carrying out fitting and polynomialmatrix fitting on the simulated sand table lane line in the aerial view; and calculating a vehicle state, and judging a vehicle deflection direction and a vehicle lane line departure distance. According to the invention, the lane line identification problem of lane reflection of the simulation sand table caused by an indoor strong light environment is solved, and the method has certain universality for simulation model vehicles. The algorithm used in the invention has the advantages of high identification accuracy, high calculation efficiency, strong indoor illumination interference resistanceand the like, the algorithm effect is visual, the test result is rapid and visible, the simplicity of the simulation sand table is fully utilized, and the cost is saved.

Description

technical field [0001] The invention belongs to the field of intelligent recognition of lane lines, and relates to an intelligent network-linked model car-in-the-loop simulation sand table intelligent identification method for lane lines. 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 of image recognition, such as image recognition technology used in military and intelligent transportation fields. With the rapid development of Intelligent Transport System (ITS), lane line recognition technology has already become one of the important research topics of image processing and pattern recognition technology in the field of intelligent transportation, and it is an important link to realize the intelligentization of traffic management. Lane line recognition can be applied to s...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/46G06T7/136
CPCG06T7/136G06T2207/10016G06V20/41G06V10/60G06V10/267G06V10/25Y02T10/40
Inventor 游峰涂海清王海玮曹水金黄玲张荣辉
Owner SOUTH CHINA UNIV OF TECH
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