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Road environment monotony detection method based on videos

A technology of road environment and detection method, applied in image data processing, instruments, computing, etc., can solve the problem of landscape singularity discrimination method without video sequence, save data operation, reduce hardware requirements, and meet accuracy Effect

Inactive Publication Date: 2015-04-22
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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  • Road environment monotony detection method based on videos
  • Road environment monotony detection method based on videos
  • Road environment monotony detection method based on videos

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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 road environment monotony detection method based on videos. The method includes the following steps that the road environment videos of roads to be detected are acquired, and color images in a video image frame sequence are converted into grey-scale maps; grey-scale values of all pixel points of each grey-scale map are calculated and stored in a pixel point grey-scale value matrix Ai; a grey-scale value difference matrix Mi of every two adjacent grey-scale maps is calculated; a first threshold value A is set, the number Si of distinguished elements of elements with the values larger than the first threshold value A in the grey-scale value difference matrixes Mi is counted; a second threshold value B is set, when the number Si of the distinguished elements is larger than the second threshold value B, road environments corresponding to Ai and Ai+1 are regarded to have no monotony, and when the number Si of the distinguished elements is smaller than or equal to the second threshold value B, the road environments corresponding to Ai and Ai+1 are regarded to have monotony; a corresponding map of the grey-scale maps and roads is established, actual road positions corresponding to Ai and Ai+1 are found, and then whether the actual road environments have monotony or not can be known.

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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IPC IPC(8): G06T7/00
CPCG06T7/77G06T2207/30256
Inventor 徐婷何立明尚文科杨新新陈刚
Owner CHANGAN UNIV
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