Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2490-2495

Recognition of highway visibility level in foggy weather using multi-stream deep fusion network

Yan Hongyan1
Sun Yubao1
Zhang Zhendong2
Huang Liang2
1. Jiangsu Collaborative Innovation Center on Atmospheric Environment & Equipment Technology, Jiangsu Key Laboratory of Big Data Analysis Technology(B-DAT Lab), Nanjing University of Information Science & Technology, Nanjing 210044, China
2. Key Laboratory of China Meteorological Administration Transportation Meteorology, Jiangsu Meteorological Service Center, Jiangsu Provincial Meteorological Bureau, Nanjing 210008, China
DOI: 10.19734/j.issn.1001-3695.2022.01.0010

Abstract

Foggy weather is an important factor affecting highway traffic safety. Research on the automatic recognition method of highway fog visibility from surveillance images can provide technical support for the intelligent management and decision-making of the traffic management department. This paper analyzed multiple physical factors related to fog density based on the atmospheric scattering model and proposed a multi-channel fusion network that integrated these physical factors. Specifically, the method jointly exploited three streams to learn deep visual feature, transmission matrix feature and scene depth feature, and designed an attention fusion module to adaptively fuse these three streams for the final visibility level recognition, which was very beneficial for improving the recognition accuracy. Meanwhile, this paper constructed a synthetic dataset and a real-scene dataset for network parameters learning and performance evaluation. The images in the real-scene dataset were collected from surveillance videos of multiple highways in China. Experiments on these two datasets show that this method can identify visibility level more accurately than existing methods.

Foundation Support

国家自然科学基金资助项目(U2001211)
江苏省气象局重点基金资助项目(KZ202105)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0010
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Technology of Graphic & Image
Pages: 2490-2495
Serial Number: 1001-3695(2022)08-043-2490-06

Publish History

[2022-03-15] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

闫宏艳, 孙玉宝, 张振东, 等. 基于多通路融合网络的高速公路雾天能见度等级识别 [J]. 计算机应用研究, 2022, 39 (8): 2490-2495. (Yan Hongyan, Sun Yubao, Zhang Zhendong, et al. Recognition of highway visibility level in foggy weather using multi-stream deep fusion network [J]. Application Research of Computers, 2022, 39 (8): 2490-2495. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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