![](bg8.png)
Original Image Result (Low Fog)
Original Image Result (Moderate Fog)
Original Image Result (Dense Fog)
Original Image Result (Very Dense Fog)
Figure 7: Results obtained on real traffic images. The
visibility distance and the maximum recommended speed
are written on the resulting images.
REFERENCES
Berman, M., Liu, J. & Justison, L. 2009. Caltrans Fog
Detection and Warning System. White Paper, ICX
technologies.
Bota, S. & Nedevschi, S. 2006. GLSCENEINT: A
Synthetic image generation tool for testing computer
vision systems. Proceedings of IEEE 2nd
International Conference on Intelligent Computer
Communication and Processing, Cluj-Napoca,
Romania. pp.
Bronte, S., Bergasa, L. M. & Alcantarilla, P. F. 2009. Fog
detection system based on computer vision techniques.
12th International IEEE Conference on Intelligent
Transportation Systems. pp. 1-6.
Dong, N., Jia, Z., Shao, J., Li, Z., Liu, F., Zhao, J. & Peng,
P.-Y. 2011. Adaptive Object Detection and Visibility
Improvement in Foggy Image.
Enginneringtoolbox. The Engineering Toolbox [Online].
Available: http://www.engineeringtoolbox.com/
friction-coefficients-d_778.html.
Gallen, R., Hautiere, N. & Glaser, S. 2010. Advisory
speed for Intelligent Speed Adaptation in adverse
conditions. 2010 IEEE Intelligent Vehicles
Symposium. pp. 107-114.
Hautiere, N., Tarel, J.-P., Lavenant, J. & Aubert, D. 2006.
Automatic fog detection and estimation of visibility
distance through use of an onboard camera. Machine
Vision and Applications, 17, pp. 8-20.
Jimenez, F., Aparicio, F. & Paez, J. 2008. Evaluation of
in-vehicle dynamic speed assistance in Spain:
algorithm and driver behaviour. Intelligent Transport
Systems, IET, 2, pp. 132-142.
Middleton, W. 1952. Vision through the atmosphere,
Toronto: University of Toronto Press.
Mori, K., Kato, T., Takahashi, T., Ide, I., Murase, H.,
Miyahara, T. & Tamatsu, Y. 2006. Visibility
Estimation in Foggy Conditions by In-Vehicle Camera
and Radar. Innovative Computing, Information and
Control, 2006. ICICIC '06. First International
Conference on. pp. 548-551.
Negru, M. & Nedevschi, S. 2013. Image based fog
detection and visibility estimation for driving
assistance systems. Intelligent Computer
Communication and Processing (ICCP), 2013 IEEE
International Conference on. pp. 163-168.
Pavlic, M., Belzner, H., Rigoll, G. & Ilic, S. 2012. Image
based fog detection in vehicles. 2012 IEEE Intelligent
Vehicles Symposium pp. 1132-1137.
Pomerleau, D. 1997. Visibility estimation from a moving
vehicle using the RALPH vision system. IEEE
Conference on Intelligent Transportation System. pp.
906-911.
Se, S. 2000. Zebra-crossing detection for the partially
sighted. IEEE Conference on Computer Vision and
Pattern Recognition. pp. 211-217 vol.2.
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