Assisting Navigation in Homogenous Fog

Mihai Negru, Sergiu Nedevschi

Abstract

An important cause of road accidents is the reduced visibility due to the presence of fog or haze. For this reason, there is a fundamental need for Advanced Driving Assistance Systems (ADAS) based on efficient real time algorithms able to detect the presence of fog, estimate the fog’s density, determine the visibility distance and inform the driver about the maximum speed that the vehicle should be traveling. Our solution is an improvement over existing methods of detecting fog due to the temporal integration of the horizon line and inflection point in the image. Our method performs in real time; approximately 50 frames per second. It is based on a single in-vehicle camera and is able to detect day time fog in real time in a wide range of scenarios, including urban scenarios.

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Paper Citation


in Harvard Style

Negru M. and Nedevschi S. (2014). Assisting Navigation in Homogenous Fog . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 619-626. DOI: 10.5220/0004740006190626


in Bibtex Style

@conference{visapp14,
author={Mihai Negru and Sergiu Nedevschi},
title={Assisting Navigation in Homogenous Fog},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={619-626},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004740006190626},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Assisting Navigation in Homogenous Fog
SN - 978-989-758-004-8
AU - Negru M.
AU - Nedevschi S.
PY - 2014
SP - 619
EP - 626
DO - 10.5220/0004740006190626