IEICE TRANSACTIONS on Information
Static Estimation of the Meteorological Visibility Distance in Night Fog with Imagery
Summary :
In this article, we propose a new way to estimate fog extinction at night with a camera. We also propose a method for the classification of fog depending on the forward scattering. We show that a characterization of fog based on the atmospheric extinction parameter only is not sufficient, specifically in the perspective of adaptive lighting for road safety. This method has been validated on synthetic images generated with a semi Monte-Carlo ray tracing software dedicated to fog simulation as well as with experiments in a fog chamber, we present the results and discuss the method, its potential applications and its limits.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.7 pp.1780-1787
- Publication Date
- 2010/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.1780
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision and its Applications)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Romain GALLEN, Nicolas HAUTIERE, Eric DUMONT, "Static Estimation of the Meteorological Visibility Distance in Night Fog with Imagery" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 7, pp. 1780-1787, July 2010, doi: 10.1587/transinf.E93.D.1780.
Abstract: In this article, we propose a new way to estimate fog extinction at night with a camera. We also propose a method for the classification of fog depending on the forward scattering. We show that a characterization of fog based on the atmospheric extinction parameter only is not sufficient, specifically in the perspective of adaptive lighting for road safety. This method has been validated on synthetic images generated with a semi Monte-Carlo ray tracing software dedicated to fog simulation as well as with experiments in a fog chamber, we present the results and discuss the method, its potential applications and its limits.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1780/_p
Copy
@ARTICLE{e93-d_7_1780,
author={Romain GALLEN, Nicolas HAUTIERE, Eric DUMONT, },
journal={IEICE TRANSACTIONS on Information},
title={Static Estimation of the Meteorological Visibility Distance in Night Fog with Imagery},
year={2010},
volume={E93-D},
number={7},
pages={1780-1787},
abstract={In this article, we propose a new way to estimate fog extinction at night with a camera. We also propose a method for the classification of fog depending on the forward scattering. We show that a characterization of fog based on the atmospheric extinction parameter only is not sufficient, specifically in the perspective of adaptive lighting for road safety. This method has been validated on synthetic images generated with a semi Monte-Carlo ray tracing software dedicated to fog simulation as well as with experiments in a fog chamber, we present the results and discuss the method, its potential applications and its limits.},
keywords={},
doi={10.1587/transinf.E93.D.1780},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - Static Estimation of the Meteorological Visibility Distance in Night Fog with Imagery
T2 - IEICE TRANSACTIONS on Information
SP - 1780
EP - 1787
AU - Romain GALLEN
AU - Nicolas HAUTIERE
AU - Eric DUMONT
PY - 2010
DO - 10.1587/transinf.E93.D.1780
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2010
AB - In this article, we propose a new way to estimate fog extinction at night with a camera. We also propose a method for the classification of fog depending on the forward scattering. We show that a characterization of fog based on the atmospheric extinction parameter only is not sufficient, specifically in the perspective of adaptive lighting for road safety. This method has been validated on synthetic images generated with a semi Monte-Carlo ray tracing software dedicated to fog simulation as well as with experiments in a fog chamber, we present the results and discuss the method, its potential applications and its limits.
ER -
English
