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Accurate detection method for highroad lane marker line

A technology of lane marking and detection method, applied in the field of intelligent transportation

Inactive Publication Date: 2009-07-01
HOHAI UNIV CHANGZHOU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the shortcomings of the existing highway lane marking line detection technology, the present invention provides an accurate detection method for lane marking lines based on fuzzy set theory

Method used

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  • Accurate detection method for highroad lane marker line
  • Accurate detection method for highroad lane marker line
  • Accurate detection method for highroad lane marker line

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Embodiment Construction

[0034] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0035] see figure 1 , the precise detection scheme of highway lane markings in this embodiment, the specific implementation steps are as follows:

[0036] 1. Collect traffic images and detect light intensity. The installed camera is used to collect and detect traffic images on the road surface, and the light intensity detection system is used to obtain the light intensity of the surrounding environment. figure 2 Shown is the traffic image at the Chaoyang Bridge intersection in Changzhou City, Jiangsu Province used in this embodiment.

[0037] 2. Determine the thre...

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Abstract

The invention relates to an accurate detecting method of a highway lane guide line, which belongs to the technical field of intelligent traffic. The method comprises the following steps: firstly, gathering road traffic images to detect light intensity of environment, utilizing a pavement grey scale value as a threshold value basis, properly correcting according to the light intensity, segmenting images to get corresponding binary image, doing Hough switching after doing corrosion treatment for the binary image, roughly extracting all bright pixels on each lane guide line and near each lane guide line to be pixel points which need to be classified, and forming a sample set, selecting a clustering central point, respectively extracting the slope ratio and interception of a connecting line of each sample point and each clustering central point as a sample point characteristic parameter, and forming a sample characteristic set, clustering the sample points to different sample sets according to a clustering rule, extracting characteristic parameters of each sample, and calculating arithmetic average, and getting the slope ratio and the interception of the straight line which is got, and detecting out the corresponding lane marking line. The method has the advantages of simple calculation and high detecting precision and the like.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method for accurately detecting road lane marking lines by using image processing. Background technique [0002] The goal of the intelligent transportation system is to obtain more efficient and safer road traffic. At present, systems such as intelligent traffic signal control, vehicle guidance, automatic driving, road navigation, and accident source detection and prevention have been developed. In intelligent transportation systems, video detection has gradually become the main detection method due to its advantages of large detection traffic scene area, low investment, low cost, and no damage to road facilities. Accurate lane localization is a prerequisite for video traffic detection. [0003] The structure of traffic roads makes the machine vision system the main means of detecting lane markings. At present, the research on lane positioning has been repor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
Inventor 李庆武石丹王慧斌徐立中孟凡
Owner HOHAI UNIV CHANGZHOU
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