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Lane line detection method based on traffic violation image data

A technology of lane line detection and image data, applied in the field of image processing, to achieve the effects of speeding up operation, saving labor costs, good real-time performance and accuracy

Pending Publication Date: 2020-08-04
HANGZHOU TRUSTWAY TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems existing in the prior art, and provide a lane line detection method based on traffic violation image data, so that it can accurately detect lane lines from complex traffic violation image data

Method used

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  • Lane line detection method based on traffic violation image data
  • Lane line detection method based on traffic violation image data
  • Lane line detection method based on traffic violation image data

Examples

Experimental program
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Embodiment

[0061] Step 1. Read in 3 or more images from a certain device

[0062] First, import the image data of traffic violations with the same card number. In this embodiment, the number of single-imported images is 3, and the imported 3 images are as follows: figure 2 shown. These images are illegal lane change data captured by the same front-end fixed camera, and are used to judge whether the illegal vehicle crosses the line and changes lanes through the secondary illegal detection program. However, the lane lines in the image are not marked, and some of the lane lines are blocked by vehicles. Therefore, the method of the present invention needs to detect and mark the two center lane lines and the two side edge lane lines in the image.

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Abstract

The invention discloses a lane line detection method based on traffic violation image data, and belongs to the field of image processing. The method comprises the following specific steps: S1, readinga plurality of traffic violation pictures shot by a same traffic violation snapshot device along the same visual angle, wherein each traffic violation picture contains a lane line to be detected; S2,detecting lane lines on each traffic violation picture; and S3, for all the combined line segments in the plurality of traffic violation pictures, clustering and fitting the line segments again, sothat all the combined line segments of each category are finally fused into one lane line. The method has good real-time performance and accuracy, can greatly save the labor cost required for originally marking the lane line information under each device, and accelerates the operation of a secondary violation detection program.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a lane line detection method based on traffic violation data. Background technique [0002] In recent years, with the improvement of traffic facilities and illegal capture systems, the occurrence of traffic accidents has been reduced to a certain extent. However, its illegal data is manually screened to classify illegal and non-illegal data. The amount of data is huge and the labor efficiency is low, so there are many secondary detection methods for traffic violations. The method in this paper is mainly aimed at lane line detection to help the judgment of these secondary violation detection procedures. At the same time, with the gradual development of science and technology in recent years, more and more scholars have begun to pay attention to and study the detection of lane markings. Lane line recognition methods mainly include hough transform method and road model-...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62
CPCG06V20/54G06V10/30G06V10/48G06V10/44G06F18/23
Inventor 陈教刘俊林永杰李万清黄冬发周诚彪韦伟俞东进袁友伟
Owner HANGZHOU TRUSTWAY TECH
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