Review of atmospheric visibility detection methods

Xiaopeng Zhao; Xiaohong Peng; Yifan Li; Zixiang Liang; Zixin Li; Tianyu Zhou; Feng Deng

doi:10.1117/12.2681585

1 June 2023 Review of atmospheric visibility detection methods

Xiaopeng Zhao, Xiaohong Peng, Yifan Li, Zixiang Liang, Zixin Li, Tianyu Zhou, Feng Deng

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 1271823 (2023) https://doi.org/10.1117/12.2681585
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

Whether in land, sea or air transportation, atmospheric visibility is an important factor related to the safety of people's lives and property. How to continuously monitor low-visibility weather and achieve better results, so as to provide indicators for the traffic control department to make corresponding traffic control measures in a timely manner, is of great significance to the driving safety of the people. In recent years, more and more facts are proving that the problem of low recognition accuracy of traffic signs, traffic lights, roadblocks and lane lines in low-visibility environments limits the rapid development of technology for unmanned driving technology. Therefore, there is a growing need to discover methods that can detect visibility efficiently and inexpensively. This paper reviews and summarizes the traditional and emerging visibility detection methods in recent years, analyzes and briefly expounds the advantages and disadvantages of each method. This paper aims to give researchers easy access to new and old technologies in the field and to provide them with basic directions for innovative methodological techniques based on them.

Citation Download Citation

Xiaopeng Zhao, Xiaohong Peng, Yifan Li, Zixiang Liang, Zixin Li, Tianyu Zhou, and Feng Deng "Review of atmospheric visibility detection methods", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 1271823 (1 June 2023); https://doi.org/10.1117/12.2681585

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KEYWORDS

Visibility

Visibility through fog

Video

Atmospheric sensing

Detection and tracking algorithms

Video surveillance

Deep learning

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