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Identification and deviation-detection method for lane

A detection method and lane recognition technology, applied in the field of lane recognition, can solve the problems of large recognition error, lack of real-time effect, dynamic blur, etc., and achieve the effect of improving accuracy, reliable positioning, and narrowing the range.

Inactive Publication Date: 2012-01-11
DONGHUA UNIV
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  • Claims
  • Application Information

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Problems solved by technology

This patent proposes a lane image processing method based on the CCD imaging principle. This method is prone to dynamic blur errors when the image resolution is low and the light changes, causing large recognition errors. When splitting, the real-time effect is not achieved

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  • Identification and deviation-detection method for lane
  • Identification and deviation-detection method for lane
  • Identification and deviation-detection method for lane

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Embodiment Construction

[0030] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0031] Embodiments of the present invention relate to a lane recognition deviation detection method, such as figure 1 As shown, it is divided into the following steps, the preprocessing of the lane image, the edge detection of the Canny operator, the prediction of the Kalman filter, the Hough transform with straight line fitting, and the adaptive selection of the threshold of the Hough transform.

[0032] The preprocessing ste...

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Abstract

The invention relates to an identification and deviation-detection method for a lane, which comprises the following steps: (1) acquiring a lane image and carrying out pretreatment on the lane image; (2) carrying out Canny operator edge detection on the lane image which is subjected to the pretreatment to obtain lane edge images; (3) determining the position of a lane mark according to the obtained lane edge images and a Kalman predictor-based lane tracking method, selecting Kalman prediction areas, filtering out a set of effective points by using a distance discrimination method, and extracting lane parameters on the basis of optimizing the set of effective points; (4) extracting the lane mark by using the Hough conversion with linear fitting according to the obtained lane parameters; and (5) counting the number of background points and lane mark points in the Kalman prediction areas by using the starting point position and the dynamic prediction of a lane which are determined in the step (3), and solving the ratio of the background points to the lane mark points. With the adoption of the identification and deviation-detection method for the lane provided by the invention, the monitoring for lane condition can be rapidly and stably realized.

Description

technical field [0001] The invention relates to the technical field of lane recognition, in particular to a lane recognition deviation detection method. Background technique [0002] Fatigue driving is one of the important hidden dangers of today's traffic safety. When the driver is fatigued, his ability to perceive the surrounding environment, the ability to judge the situation and the ability to control the vehicle all decline to varying degrees, so traffic accidents are prone to occur. In the anti-fatigue safe driving intelligent system, the extraction and processing of lane lines, as an important indicator for judging whether a person is fatigued, is a key link in the entire system. Therefore, the lane line is separated from the lane picture and processed in real time to calculate the parameters and determine the current state of the vehicle in the lane, so as to monitor the vehicle in real time and effectively, and then make an effective judgment on the driver's state ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/54
Inventor 于洋姜朝曦郭俊
Owner DONGHUA UNIV
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