NDLI: A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions

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A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions

Content Provider	Semantic Scholar
Author	Kamoun, Faouzi Chaabani, Hazar Outay, Fatma Yasar, Ansar-Ul-Haque
Copyright Year	2020
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. A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions
Starting Page	65
Ending Page	92
Page Count	28
File Format	PDF HTM / HTML
DOI	10.4018/978-1-5225-9019-4.ch002
Alternate Webpage(s)	https://www.igi-global.com/viewtitlesample.aspx?id=232024&ptid=218573&t=a+survey+of+approaches+for+estimating+meteorological+visibility+distance+under+foggy+weather+conditions
Alternate Webpage(s)	https://www.irma-international.org/viewtitle/232024/?isxn=9781522590194
Alternate Webpage(s)	https://doi.org/10.4018/978-1-5225-9019-4.ch002
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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