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Lane line extraction and recognition method based on machine vision

A recognition method and machine vision technology, applied in the field of computer vision, can solve problems such as reducing the accuracy of early warning deviations, and achieve the effects of improving early warning accuracy, accurate and effective extraction, and speeding up recognition

Inactive Publication Date: 2019-07-09
XIAN AERONAUTICAL POLYTECHNIC INST
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Problems solved by technology

If the road environment is complex and there are many disturbances, the accuracy of departure warning will be greatly reduced

Method used

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  • Lane line extraction and recognition method based on machine vision
  • Lane line extraction and recognition method based on machine vision
  • Lane line extraction and recognition method based on machine vision

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Embodiment Construction

[0046] The invention provides a lane line extraction and recognition method based on machine vision, which collects image video, divides the image calibration area, and uses the weighted average method as the grayscale processing algorithm for the area of ​​interest, and uses median filtering to perform smoothing processing on the image, canny The operator realizes lane line edge detection, image binarization processing and lane line skeleton extraction, uses Hough transform based on prior knowledge to realize lane line extraction and recognition, and combines the angle range of lane lines and the lateral distance of lane lines as screening criteria , to eliminate a large number of interference lines in the driving of the vehicle, and finally realize the accurate extraction of lane lines. The invention can realize accurate and effective extraction of lane lines, and further improve the accuracy rate of early warning of lane departure.

[0047] see figure 1 , the present inven...

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Abstract

The invention discloses a lane line extraction and recognition method based on machine vision. The method comprises the following stepos of collecting image video.; taking image calibration area segmentation and a weighted average method as a grayscale processing algorithm of an interested area, performing smoothing processing on an image by using median filtering, achieving lane line edge detection, image binarization processing and lane line framework extraction by using a canny operator, achieving lane line extraction and identification by using Hough transform based on priori knowledge, combining with the angle range of lane lines and the lateral distance of the lane lines as a screening criteria to eliminate a large number of interference lines during driving and finally achieving accurate extraction of the lane linesd. Accurate and effective extraction of lane lines can be realized, and the early warning accuracy of lane departure is further improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method for extracting and recognizing lane lines based on machine vision. Background technique [0002] With the rapid growth of social economy, the road transportation industry has ushered in rapid development, but at the same time it has brought many problems. Frequent traffic accidents not only seriously affect road traffic but also bring harm to many families. Most of these situations It is caused by the driver's inattention and fatigue driving, which makes the vehicle deviate from the safe range of the road lane line. Currently applied lane departure warning systems have limited application conditions. Generally, accurate departure warnings can only be achieved on roads with good driving environment and clear lane lines. If the road environment is complex and there are many disturbances, the accuracy of departure warning will be greatly reduced. Cont...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/40
CPCG06V20/588G06V10/30G06V10/44
Inventor 李信言王怡玮焦婉莹王博华
Owner XIAN AERONAUTICAL POLYTECHNIC INST
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