Academic Journal of Computing & Information Science, 2021, 4(6); doi: 10.25236/AJCIS.2021.040607.
Mingxu Liu, Ao Sun, Zelong Ni, Pengcheng Wang, Enyu Bai
School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, Shandong, 266000, China
Visibility is an important indicator of road safety, and accurate estimation of visibility is an important guarantee for safe travel. This paper aims to explore the evolution law of heavy fog and predict the change trend of heavy fog. Firstly, this paper establishes the expressway visibility prediction model based on the dark channel prior theory, and solves it combined with canny edge detection algorithm. Then, according to the obtained visibility curve with time, a heavy fog prediction model is established by Fourier transform algorithm. Finally, the model is analyzed and the improvement direction is put forward.
Visibility, Fourier Transform, Dark Channel Prior Theory
Mingxu Liu, Ao Sun, Zelong Ni, Pengcheng Wang, Enyu Bai. Highway Visibility Prediction Model Based on Dark Channel Prior Theory. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 6: 43-47. https://doi.org/10.25236/AJCIS.2021.040607.
[1] Mydddfly, fast implementation of advanced image defogging algorithm. https://www.cnblogs.com/ jukan/p/7072805.html. September 20, 2020
[2] Lzzdflg, Fourier transform concept and formula derivation. https://blog.csdn.net/lzzdflg/article/ details/ 78254381. September 19, 2020
[3] Yingyan, research on visibility detection and prediction method in fog [D], Hebei University of science and technology, 2019.
[4] Chen Xianchang. Research on deep learning algorithm and application based on convolutional neural network [D]. Zhejiang University of technology and industry, 2014.