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

Author First name, Last name, Institution

Faouzi Kamoun, ESPRIT School of Engineering
Hazar Chaabani, ESPRIT School of Engineering
Fatma Outay, Zayed University
Ansar-Ul-Haque Yasar

ORCID Identifiers

0000-0002-3740-1452

Document Type

Book Chapter

Source of Publication

Global Advancements in Connected and Intelligent Mobility

Publication Date

1-1-2020

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.

DOI Link

10.4018/978-1-5225-9019-4.ch002

ISSN

2328-8205

Publisher

IGI Global

First Page

65

Last Page

92

Disciplines

Physical Sciences and Mathematics

Recommended Citation

Kamoun, Faouzi; Chaabani, Hazar; Outay, Fatma; and Yasar, Ansar-Ul-Haque, "A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions" (2020). All Works. 287.
https://zuscholars.zu.ac.ae/works/287

Indexed in Scopus

no

Open Access

no