Affiliation:
1. ESPRIT School of Engineering, Tunisia
2. Zayed University, UAE
3. Hasselt University, Belgium
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.
Reference47 articles.
1. Abdel-Aty, M., Ahmed, M. M., Lee, J. S. Q., & Abuzwidah, M. (2012). Synthesis of visibility detection systems. University of Central Florida Report, BDK78 977-11. Retrieved January 2018, from, http://www.fdot.gov/research/Completed_Proj/Summary_TE/FDOT-BDK78-977-11-rpt.pdf
2. A study on crashes related to visibility obstruction due to fog and smoke
3. Synthesis of State-of-the-Art in Visibility Detection Systems’ Applications and Research
4. A model-driven approach to estimate atmospheric visibility with ordinary cameras
5. Visibility monitoring using conventional roadside cameras – Emerging applications
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献