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A variational approach to atmospheric visibility estimation in the weather of fog and haze
KTH, School of Computer Science and Communication (CSC). Nanjing University of Posts and Telecommunications, Nanjing, China.
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2018 (English)In: Sustainable cities and society, ISSN 2210-6707, Vol. 39, p. 215-224Article in journal (Refereed) Published
Abstract [en]

Real-time atmospheric visibility estimation in foggy and hazy weather plays a crucial role in ensuring traffic safety. Overcoming the inherent drawbacks with traditional optical estimation methods, like limited sampling volume and high cost, vision-based approaches have received much more attention in recent research on atmospheric visibility estimation. Based on the classical Koschmieder's formula, atmospheric visibility estimation is carried out by extracting an inherent extinction coefficient. In this paper we present a variational framework to handle the nature of time-varying extinction coefficient and develop a novel algorithm of extracting the extinction coefficient through a piecewise functional fitting of observed luminance curves. The developed algorithm is validated and evaluated with a big database of road traffic video from Tongqi expressway (in China). The test results are very encouraging and show that the proposed algorithm could achieve an estimation error rate of 10%. More significantly, it is the first time that the effectiveness of Koschmieder's formula in atmospheric visibility estimation was validated with a big dataset, which contains more than two million luminance curves extracted from real-world traffic video surveillance data.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 39, p. 215-224
Keywords [en]
Atmospheric visibility estimation, Computer vision, Fog and haze, Piecewise stationary time series, Variational approach
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:kth:diva-227594DOI: 10.1016/j.scs.2018.02.001ISI: 000433169800020Scopus ID: 2-s2.0-85042790582OAI: oai:DiVA.org:kth-227594DiVA, id: diva2:1208832
Note

QC 20180521

Available from: 2018-05-21 Created: 2018-05-21 Last updated: 2018-07-02Bibliographically approved

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Li, Haibo

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • Other locale
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Output format
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  • asciidoc
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