Road snow and rain state automatic identification method based on feature information classification

An automatic identification and road technology, applied in the field of intelligent transportation, can solve the problems of not fully reflecting the overall situation of the entire road section, large intervals between detection stations, and small amount of monitoring information

Active Publication Date: 2013-04-10
BEIJING CHENGDA TRAFFIC TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method requires the vehicle to drive to the road before it can detect the rain and snow on the road surface. It is difficult to adapt to the complex and changeable traffic conditions and the ever-changing weather, and there are great limitations in time and space.
The second is a multi-sensor-based road surface state detection system. This technology requires pre-embedded sensors on the roadside or unde

Method used

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  • Road snow and rain state automatic identification method based on feature information classification
  • Road snow and rain state automatic identification method based on feature information classification
  • Road snow and rain state automatic identification method based on feature information classification

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Embodiment 1

[0057] Embodiment 1. The method of the present invention is applied to the snowfall season. The present invention is a method for automatic identification of road rain and snow states based on feature information classification, including step (A): sample description feature extraction and Bayesian classifier construction, step (B): Detect the state of the road surface,

[0058] Step (A) consists of the following small steps:

[0059]Small step (A1), to obtain sample images: Use a camera to capture changes in the road surface state of the road to be monitored, and select three videos from it. These three videos capture three scenes of the road surface state: the first scene is a dry road scene; The second scenario is a wet and slippery road scene; the third scenario is an extremely slippery road scene; since it is snowing season, the first scenario chooses the scene without snow; the second scenario chooses the snowfall on the road, but the snow is After being run over by a c...

Embodiment 2

[0132] Embodiment 2, the method of the present invention is applied to the rainy season: the present invention is a method for automatic identification of road rain and snow states based on feature information classification, including step (A): sample description feature extraction and Bayesian classifier construction, step (B): Detecting the state of the road surface, step (A) consists of the following small steps: small step (A1), to obtain sample images: use a camera to shoot the change of the road surface state of the road to be monitored, and select three videos from it, these three videos Three scenes of the state of the road surface were photographed: the first scene is a dry road scene; the second scene is a slippery road scene; The rainy scene; the second scene chooses the road surface that is washed by rain and becomes slippery, but after the car drives on the road, the wheels do not splash the scene; the third scene chooses the road water scene, the water scene is t...

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Abstract

A road snow and rain state automatic identification method based on feature information classification comprises a step A of extracting a sample describing feature and constructing a Bayes classifier, and a step B of detecting the road state. The step A comprises a small step A 1 of acquiring a sample image, a small step A 2 of preprocessing the image, a small step A 3 of extracting a sampling image texture attribute value and an average gray value of a road effective coverage sample, a small step A 4 of calculating a probability density function of the road sample, and a small step A 5 of determining an operational rule of a type conditional probability density function to construct the Bayes classifier. The step B comprises a small step B 1 of acquiring a road detecting image, a small step B 2 of preprocessing the image, a small step B 3 of extracting a texture attribute value and an average gray value of a road detecting standard image frame, and a small step B 4 of judging the road surface state of the road. The road snow and rain state automatic identification method based on the feature information classification can adapt to various weather variations and complexity and changes of traffic road states, detection efficiency and accuracy are high, and cost is low, so that the road snow and rain state automatic identification method based on the feature information classification provides reference for traffic safety guarantee and traffic management.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and relates to image / video information processing and pattern recognition technology, in particular to a method for automatic recognition of road surface rain and snow states. Background technique [0002] The frequency of traffic accidents under severe weather conditions is high, especially in rainy and snowy weather. Especially for expressways, rain and snowfall have become a major factor leading to traffic accidents, so it is necessary to detect road (expressway ) of the road surface, providing a reference for traffic safety and traffic management. There are two traditional methods for detecting the state of the road surface: one is the road surface state detection vehicle, which obtains the state of the road surface by installing sensors such as infrared and radar on the vehicle. This method requires the vehicle to drive to the road before it can detect the rain and snow o...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
Inventor 王文孙中华张春雨贾克斌杜戈苏勇杨振邦白雪徐玉春桑苗杰邵力刘国法张杰李建民王东升杨明洁李蕊
Owner BEIJING CHENGDA TRAFFIC TECH
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