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Visibility detection approach to road scene foggy images
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Visibility detection approach to road scene foggy images

Vol. 10, No. 9, September 29, 2016
10.3837/tiis.2016.09.022, Download Paper (Free):

Abstract

A cause of vehicle accidents is the reduced visibility due to bad weather conditions such as fog. Therefore, an onboard vision system should take visibility detection into account. In this paper, we propose a simple and effective approach for measuring the visibility distance using a single camera placed onboard a moving vehicle. The proposed algorithm is controlled by a few parameters and mainly includes camera parameter estimation, region of interest (ROI) estimation and visibility computation. Thanks to the ROI extraction, the position of the inflection point may be measured in practice. Thus, combined with the estimated camera parameters, the visibility distance of the input foggy image can be computed with a single camera and just the presence of road and sky in the scene. To assess the accuracy of the proposed approach, a reference target based visibility detection method is also introduced. The comparative study and quantitative evaluation show that the proposed method can obtain good visibility detection results with relatively fast speed.


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Cite this article

[IEEE Style]
F. Guo, H. Peng, J. Tang, B. Zou and C. Tang, "Visibility detection approach to road scene foggy images," KSII Transactions on Internet and Information Systems, vol. 10, no. 9, pp. 4419-4441, 2016. DOI: 10.3837/tiis.2016.09.022.

[ACM Style]
Fan Guo, Hui Peng, Jin Tang, Beiji Zou, and Chenggong Tang. 2016. Visibility detection approach to road scene foggy images. KSII Transactions on Internet and Information Systems, 10, 9, (2016), 4419-4441. DOI: 10.3837/tiis.2016.09.022.