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Highway visibility space-time continuity observation method

A highway and visibility technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve problems such as the difficulty of fully realizing the visibility value along the highway and the inaccurate observation results, and solve the problems of uneven and discontinuous spatial distribution , the effect of reducing the distance

Pending Publication Date: 2021-03-12
江苏省气象服务中心
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for observing the time-space continuity of expressway visibility, which can effectively solve the problem that the existing observation methods are difficult to fully realize the visibility value along the highway, and the observation results are not accurate enough

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  • Highway visibility space-time continuity observation method
  • Highway visibility space-time continuity observation method
  • Highway visibility space-time continuity observation method

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[0027] In order to make the objects and advantages of the present invention clearer, the present invention will be specifically described below in conjunction with examples. It should be understood that the following words are only used to describe one or several specific implementation modes of the present invention, and do not strictly limit the protection scope of the specific claims of the present invention.

[0028] The technical scheme of the expressway visibility time-space continuity observation method of the present invention is as follows Figure 1~2 shown, including the following steps:

[0029] S1. Obtain the latitude and longitude data of traffic observation sites and traffic video surveillance probes along the expressway, calculate the interpolation direction between each traffic observation site to the interpolation point of each video surveillance probe position and the straight-line distance between the traffic video surveillance probe and two adjacent sites, ...

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Abstract

The invention relates to a highway visibility space-time continuity observation method, which comprises the following steps of: acquiring meteorological observation data and video monitoring real-timeimage data of a traffic observation station along a highway, collecting visibility discrete data of the traffic observation station and a video monitoring point, finishing visibility influence factoranalysis and visibility data exploration, screening factors closely related to visibility, selecting visibility values of two adjacent traffic observation stations and observation values of all related meteorological factors, combining meteorological satellite channel data and DEM elevation data, utilizing a neural network along-line interpolation model, carrying out along-line interpolation on inter-station video probe positions in the road direction, and based on a converged neural network along-the-line interpolation algorithm model, increasing the number of interpolation points between stations, reducing the distance between the interpolation points along the highway, and analyzing the visibility observation value of each section of the highway. The invention can effectively solve theproblems that it is difficult for an existing observation mode to completely realize the visibility value along a road and an observation result is not accurate enough.

Description

technical field [0001] The invention relates to the technical field of road visibility observation, in particular to a method for observing the temporal-spatial continuity of expressway visibility. Background technique [0002] With the development of computer vision technology and artificial intelligence science, monitoring cameras are used instead of visibility meters, and real-time monitoring of visibility is completed in a way that mimics human vision. There are already many visibility observation algorithms based on video image understanding in the prior art, including The video visibility detection algorithm based on Kohler's consistent contrast, the visibility detection algorithm based on brightness features, and the visibility detection algorithm based on road markers; these methods can use camera calibration to convert the maximum visible distance, discretely obtain the visibility value along the road, It is very good to make up for the sparse deployment density of ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06N3/045G06F18/2135
Inventor 孙家清黄亮张振东王博妮杨茜茜张顾张敏肖鹏飞周雪城姚阮陈晓颖
Owner 江苏省气象服务中心
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