J. Tarel and N. Hautière, Fast visibility restoration from a single color or gray level image, 2009 IEEE 12th International Conference on Computer Vision, pp.2201-2208, 2009.
DOI : 10.1109/ICCV.2009.5459251

URL : https://hal.archives-ouvertes.fr/hal-00435982

N. Hautière, J. Tarel, and D. Aubert, Mitigation of Visibility Loss for Advanced Camera-Based Driver Assistance, IEEE Transactions on Intelligent Transportation Systems, vol.11, issue.2, pp.474-484, 2010.
DOI : 10.1109/TITS.2010.2046165

S. G. Narashiman and S. K. Nayar, Interactive deweathering of an image using physical model, IEEE Workshop on Color and Photometric Methods in Computer Vision, 2003.

N. Hautière, J. Tarel, and D. Aubert, Towards Fog-Free In-Vehicle Vision Systems through Contrast Restoration, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383259

R. Tan, N. Pettersson, and L. Petersson, Vvisibility enhancement for roads with foggy or hazy scenes, Proceedings of the IEEE Intelligent Vehicles Symposium (IV'07), pp.19-24, 2007.

R. Tan, Visibility in bad weather from a single image, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587643

K. He, J. Sun, and X. Tang, Single image haze removal using dark channel prior, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.12, pp.2341-2353, 2010.

N. Hautière and D. Aubert, Contrast restoration of foggy images through use of an onboard camera, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., pp.1090-1095, 2005.
DOI : 10.1109/ITSC.2005.1520203

D. Jobson, Z. Rahman, and G. Woodell, A multiscale retinex for bridging the gap between color images and the human observation of scenes, IEEE Transactions on Image Processing, vol.6, issue.7, pp.965-976, 1997.
DOI : 10.1109/83.597272

N. Hautière, J. Tarel, J. Lavenant, and D. Aubert, Automatic fog detection and estimation of visibility distance through use of an onboard camera, Machine Vision and Applications, pp.8-20, 2006.
DOI : 10.1007/s00138-005-0011-1

K. Zuiderveld, Contrast limited adaptive histogram equalization, " in Graphics gems IV, pp.474-485, 1994.

J. Lavenant, J. Tarel, and D. Aubert, Procédé de détermination de la distance de visibilité et procédé de détermination de la présence d'un brouillard, 2002.

N. Hautière, J. Tarel, and D. Aubert, Free space detection for autonomous navigation in daytime foggy weather, Proceedings of IAPR Conference on Machine Vision Applications (MVA'09), pp.501-504, 2009.

J. Yu, C. Xiao, and D. Li, Physics-based fast single image fog removal, IEEE International Conference on Signal Processing

J. Tarel, N. Hautière, A. Cord, D. Gruyer, and H. Halmaoui, Improved visibility of road scene images under heterogeneous fog, 2010 IEEE Intelligent Vehicles Symposium, pp.478-485, 2010.
DOI : 10.1109/IVS.2010.5548128

URL : https://hal.archives-ouvertes.fr/hal-00549859

D. Gruyer, C. Royere, N. Du-lac, G. Michel, and J. Blosseville, Sivic and rtmaps, interconnected platforms for the conception and the evaluation of driving assistance systems, Proc. Intelligent Transport Systems World Congress, pp.1-8, 2006.

K. Perlin, An image synthesizer, ACM SIGGRAPH Computer Graphics, vol.19, issue.3, pp.287-296, 1985.
DOI : 10.1145/325165.325247

A. Geiger, M. Roser, and R. Urtasun, Efficient Large-Scale Stereo Matching, Asian Conference on Computer Vision, 2010.
DOI : 10.1007/BFb0014497

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.889

Q. Yang, R. Yang, J. Davis, and D. Nister, Spatial-Depth Super Resolution for Range Images, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383211

Z. Bian, R. Ni, A. Guindon, and G. Andersen, Aging and the detection of collision events in fog, International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, pp.69-75, 2008.

R. Gallen, N. Hautière, and S. Glaser, Advisory speed for Intelligent Speed Adaptation in adverse conditions, 2010 IEEE Intelligent Vehicles Symposium, pp.107-114, 2010.
DOI : 10.1109/IVS.2010.5548035

URL : https://hal.archives-ouvertes.fr/hal-00559932

L. Bi, O. Tsimhoni, and Y. Liu, Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems, IEEE Transactions on Intelligent Transportation Systems, vol.10, issue.1, pp.155-164, 2009.

S. Mahlke and D. Rösler, Evaluation of Six Night Vision Enhancement Systems: Qualitative and Quantitative Support for Intelligent Image Processing, Human Factors, vol.46, issue.3, pp.518-531, 2007.
DOI : 10.1518/001872007X200148

A. Livingston and V. Asari, A Visibility Improvement System for Low Vision Drivers by Nonlinear Enhancement of Fused Visible and Infrared Video, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) -Workshops, pp.25-25, 2005.

Y. Hsu, A generalization of Pi??ron's law to include background intensity and latency distribution, Journal of Mathematical Psychology, vol.49, issue.6, pp.450-463, 2005.
DOI : 10.1016/j.jmp.2005.02.001

J. Bossu, D. Gruyer, J. Smal, and J. Blosseville, Validation and benchmarking for pedestrian video detection based on a sensors simulation platform, 2010 IEEE Intelligent Vehicles Symposium, 2010.
DOI : 10.1109/IVS.2010.5548031

R. Brémond, J. Tarel, E. Dumont, and N. Hautiére, Vision models for image quality assessment: one is not enough, Journal of Electronic Imaging, vol.19, issue.4, 2010.
DOI : 10.1117/1.3495989

M. Gazzi, T. Georgiadis, and V. Vicentini, Distant contrast measurements through fog and thick haze, Atmospheric Environment, vol.35, issue.30, pp.5143-5149, 2001.
DOI : 10.1016/S1352-2310(01)00333-8