Fog detection from camera images

Roberto Castelli, Peter Frolkovic, Christian Reinhardt, Christiaan C. Stolk, Jakub Tomczyk, Arthur Vromans

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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Abstract

Fog is one of the most dangerous weather types with more fatalities than
winter storms. It is in the interest of general public that a precise, predictive
and accurate fog density map with high spatial resolution can be created. Currently, the definition of fog as used by national weather services is so detailed and technical that the fog can be identified only at a few locations by means of the prescribed light scattering experiments. With the rising availability of cameras in public places such as airports, streets and highways, a large amount of data on the occurrence of fog becomes available to researchers. In this article we describe methods for determining not necessary only the existence of fog, but sometimes a visibility distance - a type of optical penetration length - as well. We will show that digital cameras can be a reliable alternative or complementary method for creating fog visibility maps when processing of image data is used.
Original languageEnglish
Title of host publicationProceedings of the 114th European Study Group Mathematics with Industry
Subtitle of host publicationSWI 2016
EditorsEric Cator, Ross J. Kang
Place of PublicationNijmegen
PublisherRadboud Universiteit Nijmegen
Pages25-43
Number of pages19
Publication statusPublished - 2016
Event114th European Study Group Mathematics with Industry (SWI 2016), January 25-29, 2016, Nijmegen, The Netherlands - Radboud Universiteit, Nijmegen, Netherlands
Duration: 25 Jan 201629 Jan 2016

Conference

Conference114th European Study Group Mathematics with Industry (SWI 2016), January 25-29, 2016, Nijmegen, The Netherlands
CountryNetherlands
CityNijmegen
Period25/01/1629/01/16

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fog
visibility
weather
light scattering
detection
airport
spatial resolution
penetration
road
experiment

Cite this

Castelli, R., Frolkovic, P., Reinhardt, C., Stolk, C. C., Tomczyk, J., & Vromans, A. (2016). Fog detection from camera images. In E. Cator, & R. J. Kang (Eds.), Proceedings of the 114th European Study Group Mathematics with Industry: SWI 2016 (pp. 25-43). Nijmegen: Radboud Universiteit Nijmegen.
Castelli, Roberto ; Frolkovic, Peter ; Reinhardt, Christian ; Stolk, Christiaan C. ; Tomczyk, Jakub ; Vromans, Arthur. / Fog detection from camera images. Proceedings of the 114th European Study Group Mathematics with Industry: SWI 2016. editor / Eric Cator ; Ross J. Kang. Nijmegen : Radboud Universiteit Nijmegen, 2016. pp. 25-43
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title = "Fog detection from camera images",
abstract = "Fog is one of the most dangerous weather types with more fatalities thanwinter storms. It is in the interest of general public that a precise, predictiveand accurate fog density map with high spatial resolution can be created. Currently, the definition of fog as used by national weather services is so detailed and technical that the fog can be identified only at a few locations by means of the prescribed light scattering experiments. With the rising availability of cameras in public places such as airports, streets and highways, a large amount of data on the occurrence of fog becomes available to researchers. In this article we describe methods for determining not necessary only the existence of fog, but sometimes a visibility distance - a type of optical penetration length - as well. We will show that digital cameras can be a reliable alternative or complementary method for creating fog visibility maps when processing of image data is used.",
author = "Roberto Castelli and Peter Frolkovic and Christian Reinhardt and Stolk, {Christiaan C.} and Jakub Tomczyk and Arthur Vromans",
year = "2016",
language = "English",
pages = "25--43",
editor = "Eric Cator and Kang, {Ross J.}",
booktitle = "Proceedings of the 114th European Study Group Mathematics with Industry",
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Castelli, R, Frolkovic, P, Reinhardt, C, Stolk, CC, Tomczyk, J & Vromans, A 2016, Fog detection from camera images. in E Cator & RJ Kang (eds), Proceedings of the 114th European Study Group Mathematics with Industry: SWI 2016. Radboud Universiteit Nijmegen, Nijmegen, pp. 25-43, 114th European Study Group Mathematics with Industry (SWI 2016), January 25-29, 2016, Nijmegen, The Netherlands, Nijmegen, Netherlands, 25/01/16.

Fog detection from camera images. / Castelli, Roberto; Frolkovic, Peter; Reinhardt, Christian; Stolk, Christiaan C.; Tomczyk, Jakub; Vromans, Arthur.

Proceedings of the 114th European Study Group Mathematics with Industry: SWI 2016. ed. / Eric Cator; Ross J. Kang. Nijmegen : Radboud Universiteit Nijmegen, 2016. p. 25-43.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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N2 - Fog is one of the most dangerous weather types with more fatalities thanwinter storms. It is in the interest of general public that a precise, predictiveand accurate fog density map with high spatial resolution can be created. Currently, the definition of fog as used by national weather services is so detailed and technical that the fog can be identified only at a few locations by means of the prescribed light scattering experiments. With the rising availability of cameras in public places such as airports, streets and highways, a large amount of data on the occurrence of fog becomes available to researchers. In this article we describe methods for determining not necessary only the existence of fog, but sometimes a visibility distance - a type of optical penetration length - as well. We will show that digital cameras can be a reliable alternative or complementary method for creating fog visibility maps when processing of image data is used.

AB - Fog is one of the most dangerous weather types with more fatalities thanwinter storms. It is in the interest of general public that a precise, predictiveand accurate fog density map with high spatial resolution can be created. Currently, the definition of fog as used by national weather services is so detailed and technical that the fog can be identified only at a few locations by means of the prescribed light scattering experiments. With the rising availability of cameras in public places such as airports, streets and highways, a large amount of data on the occurrence of fog becomes available to researchers. In this article we describe methods for determining not necessary only the existence of fog, but sometimes a visibility distance - a type of optical penetration length - as well. We will show that digital cameras can be a reliable alternative or complementary method for creating fog visibility maps when processing of image data is used.

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Castelli R, Frolkovic P, Reinhardt C, Stolk CC, Tomczyk J, Vromans A. Fog detection from camera images. In Cator E, Kang RJ, editors, Proceedings of the 114th European Study Group Mathematics with Industry: SWI 2016. Nijmegen: Radboud Universiteit Nijmegen. 2016. p. 25-43