Night highway agglomerate fog automatic detection device on the basis of laser and detection method thereof

Abstract

The present invention discloses a night highway agglomerate fog automatic detection device on the basis of a laser and a detection method thereof. The detection method of the night highway agglomerate fog automatic detection device on the basis of the laser comprises: detection devices are installed at regular intervals on a highway, the cameras in the detection devices shoot images having a certain number of frames containing laser signals in adjacent detection devices, and an observation system is established; laser signal characteristics are automatically detected in different agglomerate fog concentrations, is established; in the process of detection, gray processing of the obtained images is performed, and the size of the real signal area and the average brightness value are calculated and taken as characteristics to find out corresponding agglomerate fog concentrations; and according to the final mapping relation of the laser signal characteristics and the agglomerate fog concentrations obtained by the previous step, the analysis of the agglomerate fog concentrations with respect to the data processed at present is performed, the result is recorded, and information is published or an early warning is given according to the setting condition. According to the invention, the detection device is cost effective, energy efficient and economical and practical, and has improved efficiency; and the system has good anti-interference effect and high stability.

Description

technical field [0001] The invention belongs to the field of expressway detection, in particular to the automatic detection of cloudy fog on expressways at night. Background technique [0002] Visibility has a very important impact on the driving safety of expressways, and driving in foggy days can easily cause serious traffic accidents. In some fog-prone areas, the incidence and death rate of traffic accidents are on the rise. As a form of fog, fog is the most harmful and unpredictable, and it is also called "flow killer". The fog is related to the change of the local microclimate environment. The area is small, the fog is thick, and the visibility inside the fog decreases rapidly, but the sight outside the fog is good. On the expressway, the formation and disappearance of cloud fog is very fast and difficult to predict, and it is difficult to detect it in time by manual observation alone. The existing meteorological monitoring system can only predict the foggy weather in...

AI Technical Summary

Problems solved by technology

The disadvantage of this type of method is that it needs to extract the features of the target, and its efficiency and accuracy will be greatly affected in the case of complex scenes or occlusions

Furthermore, the image is converted to the frequency domain for processing. Using the difference in the frequency domain between the foggy video and the non-foggy video, a method for quickly detecting the foggy group is proposed, but this method is not suitable for scenes with multiple targets or textures. When , the characteristics of the fog image and the non-fog image in the frequency domain are relatively close, and the effect is not ideal

[0005] At present, the main problem in the field of expressway fog detection is the complexity and variability of the environment.

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