DocumentCode :
1910792
Title :
Image based fog detection and visibility estimation for driving assistance systems
Author :
Negru, Mihai ; Nedevschi, Sergiu
Author_Institution :
Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2013
fDate :
5-7 Sept. 2013
Firstpage :
163
Lastpage :
168
Abstract :
An advanced driving assistance system (ADAS) must also take into account the weather conditions. One of the most dangerous weather conditions for driving scenarios is the presence of fog. So an important task for a driving assistance system is to detect the presence of fog, estimate the fog´s density and determine the visibility distance of the driver. Our method is based on a single in-vehicle camera and is actually an improvement over existing fog detection solutions, in terms of speed and accuracy. We are able to detect day time fog in a wide range of scenarios, including urban scenarios. After detecting the presence of fog in the image and based on the fog´s density we are able to compute the visibility distance and inform the driver about the environment´s weather conditions.
Keywords :
environmental factors; object detection; traffic engineering computing; ADAS; advanced driving assistance system; day time fog detection; fog density; image based fog detection; single in-vehicle camera; urban scenarios; visibility distance; weather conditions; Cameras; Equations; Estimation; Mathematical model; Meteorology; Roads; Vehicles; advanced driving assistance systems; fog detection; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2013 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-1493-7
Type :
conf
DOI :
10.1109/ICCP.2013.6646102
Filename :
6646102
Link To Document :
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