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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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.
Translated title of the contributionMistdetectie vanaf camerabeelden
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
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


Conference114th European Study Group Mathematics with Industry (SWI 2016), January 25-29, 2016, Nijmegen, The Netherlands


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