Expressway foggy weather visibility detection method based on dark channel prior and deep learning

Abstract

The invention discloses an expressway foggy weather visibility detection method based on dark channel prior and deep learning. The method comprises the following steps: 1, acquiring a video image acquired by an expressway camera, and building a background model; 2, acquiring an initial transmittance graph: 21, building a six-layer convolutional neural network, and performing training by using a large quantity of samples to obtain a network model; 22, loading a convolutional neural network model, and initializing the network by using the length and width of an original picture; 23, transmitting an original foggy weather image into the network for computing to obtain a corresponding transmittance graph; 3, optimizing the transmittance graph; 4, solving an average atmospheric extinction coefficient: 41, specifying at least two lane white lines in an original image to select road key points; 42, acquiring transmittance at two ends of each lane line, and computing corresponding atmospheric extinction coefficients respectively; 43, solving an average atmospheric extinction coefficient; and 5, estimating the visibility.

Description

technical field [0001] The present invention relates to a foggy visibility detection method for expressway, in particular to a foggy visibility detection method for expressway based on dark channel prior knowledge and deep learning, which can realize the foggy condition of expressway according to the video information of expressway visibility detection. Background technique [0002] In actual operation, highways are easily affected by bad weather. Among them, foggy weather is a typical bad weather. The heavy fog makes the visibility of the expressway greatly reduced. On the one hand, the overall speed of the road is reduced, and the road traffic capacity is reduced; traffic accident. Therefore, how to use expressway video to realize foggy visibility detection, timely discover low-visibility foggy weather and give an alarm is a powerful measure to improve expressway driving safety. [0003] In the prior art, video-based highway fog visibility detection methods mainly fall ...

AI Technical Summary

Problems solved by technology

However, there are still some problems in this type of method, such as the obtained transmittance map is not fine enough, which affects the accuracy of visibility detection to a certain extent, and the algorithm is more complicated, and the real-time performance is poor, which is difficult to meet the requirements of practical applications.

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