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A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions
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Author(s): Faouzi Kamoun (ESPRIT School of Engineering, Tunisia), Hazar Chaabani (ESPRIT School of Engineering, Tunisia), Fatma Outay (Zayed University, UAE)and Ansar-Ul-Haque Yasar (Hasselt University, Belgium)
Copyright: 2020
Pages: 28
Source title:
Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities
Source Author(s)/Editor(s): Fatma Outay (Zayed University, UAE), Ansar-Ul-Haque Yasar (Hasselt University, Belgium)and Elhadi Shakshuki (Acadia University, Canada)
DOI: 10.4018/978-1-5225-9019-4.ch002
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Abstract
The immaturity of fog abatement technologies for highway usage has led to growing interest towards developing intelligent transportation systems that are capable of estimating meteorological visibility distance under foggy weather conditions. This capability is crucial to support next-generation cooperative situational awareness and collision avoidance systems as well as onboard driver assistance systems. This chapter presents a survey and a comprehensive taxonomy of daytime visibility distance estimation approaches based on a review and synthesis of the literature. The proposed taxonomy is both comprehensive (i.e., captures a wide spectrum of earlier contributions) and effective (i.e., enables easy comparison among previously proposed approaches). The authors also highlight some open research issues that warrant further investigation.
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