A video-based method for detecting monotonicity of road environment

A road environment and detection method technology, which is applied in image analysis, image enhancement, instruments, etc., can solve the problem of landscape singularity discrimination method without video sequence, and achieve the effect of saving data calculation, easy implementation, and broad application prospects

Inactive Publication Date: 2018-11-30
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no video sequence-based method for landscape singularity discrimination

Method used

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  • A video-based method for detecting monotonicity of road environment
  • A video-based method for detecting monotonicity of road environment
  • A video-based method for detecting monotonicity of road environment

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Embodiment Construction

[0030] The present invention will be described in further detail below in conjunction with a specific embodiment, but the present invention is not limited to this embodiment.

[0031] The road section to be detected in this embodiment is the G107 Hebei-Zhuozhou section, and the monotonicity inspection of the G107 Hebei-Zhuozhou section is carried out by using the video-based road environment monotonicity detection method of the present invention. refer to figure 1 , is a flowchart of a method for detecting monotonicity of a video-based road environment.

[0032] Specifically include the following steps:

[0033] Step 1: Collect a video of the road environment on the Hebei-Zhuozhou section of the G107 Expressway through the ZX-GN8600 high-definition camera on the vehicle.

[0034] Step 2: Process the collected road environment video at a frequency of 2 frames per second into a video image frame sequence with a size of 1080×1902 pixels, and convert the color image in the video...

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Abstract

The invention discloses a method for detecting the monotonicity of the road environment based on video, which comprises the following steps: collecting the road environment video of the road to be detected, converting the color image in the video image frame sequence into a grayscale image; calculating each frame The gray value of all pixels in the gray scale image is saved as the pixel gray value matrix Ai; the gray value difference matrix Mi between two adjacent frames of gray scale images is calculated; the value of the first threshold A is set, and the statistical gray The number of unique elements Si in the degree value difference matrix Mi greater than the first threshold A; set the value of the second threshold B, when the number of unique elements Si > second threshold B, consider Ai, Ai+1 The corresponding road environment is not monotonic. When the number of unique elements Si ≤ the second threshold B, the road environment corresponding to Ai and Ai+1 is considered to be monotonic; establish a correspondence table between the grayscale image and the road, and find The actual road position corresponding to Ai and Ai+1 can know whether the actual road environment of this section is monotonic.

Description

technical field [0001] The invention belongs to the technical field of road traffic safety, and specifically discloses a method for detecting the monotonicity of the road environment based on video. Background technique [0002] With the development of my country's economy, the number of motor vehicles has increased year by year, but the traffic safety situation is not optimistic, and there are more and more traffic accidents caused by driver fatigue. The driver's actions are repeated, causing certain changes in his psychology and physiology, such as distraction, dozing off, narrowing of vision, and missing information. Therefore, fatigue driving seriously affects driving safety and becomes a major hidden danger of traffic accidents. There are many reasons for driving fatigue, one of which is the singleness of the road landscape. When the driver is driving on the expressway with flat road surface and monotonous environment, fast, monotonous and highly repetitive operations...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06T7/77G06T2207/30256
Inventor 徐婷何立明尚文科杨新新陈刚
Owner CHANGAN UNIV
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