DocumentCode
134453
Title
Fog assistance on smart mobile devices
Author
Negru, Mihai ; Benea, Voichita ; Nedevschi, Sergiu
Author_Institution
Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear
2014
fDate
4-6 Sept. 2014
Firstpage
197
Lastpage
204
Abstract
Fog is one of the most dangerous weather phenomena in driving scenarios that can benefit from driving assistance systems. For this reason we have developed an affordable advanced driving assistance solution that runs on Android based smart mobile platforms. Our system is able to detect the presence of fog in images captured from a moving vehicle, to estimate the fog´s density, compute the visibility distance and provide the driver with a safe speed estimate. In addition an original image enhancement algorithm is presented. This algorithm is based on a mathematical model that considers the exponential variation in fog´s density with respect to the distance to the mobile device. Our system performs successfully in real time, in day-time fog, in a wide variety of driving scenarios, including urban, rural and highway scenarios.
Keywords
driver information systems; fog; image enhancement; mathematical analysis; road safety; road traffic; smart phones; Android based smart mobile platforms; advanced driving assistance solution; dangerous weather phenomena; day-time fog; driving assistance systems; driving scenarios; exponential variation; fog assistance; fog density estimation; fog detection; highway scenarios; image enhancement algorithm; images capture; mathematical model; moving vehicle; rural scenarios; safe speed estimate; smart mobile devices; urban scenarios; visibility distance; Atmospheric modeling; Cameras; Equations; Mathematical model; Mobile handsets; Roads; Vehicles; advanced driving assistance system; atmospheric veil; exponential contrast restoration; fog detection; image enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on
Conference_Location
Cluj Napoca
Print_ISBN
978-1-4799-6568-7
Type
conf
DOI
10.1109/ICCP.2014.6936995
Filename
6936995
Link To Document