Research Topics



Improved Camera-based Detection under Adverse Conditions

descriptif

In foggy weather, the contrast of images grabbed by invehicle cameras in the visible light range is drastically degraded, which makes the current applications very sensitive to weather conditions. An onboard vision system should take fog effects into account. The effects of fog varies across the scene and are exponential with respect to the depth of scene points. Because it is not possible in this context to compute the road scene structure beforehand contrary to fixed camera surveillance, a new scheme is proposed. Weather conditions are first estimated and then used to restore the contrast according to a scene structure which is inferred a priori and refined during the restoration process. Based on the aimed application, different algorithms with increasing complexities are proposed. Results are presented using sample road scenes under foggy weather and assessed by computing the contrast before and after restoration.

Publications
  1. Hautière, N., Tarel, J.-P. and Aubert, D. Mitigation of Visibility Loss for Advanced Camera based Driver Assistances. In IEEE Transactions on Intelligent Transportation Systems, 11 (2): 474-484, 2010.    
  2. Tarel, J.-P., Hautière, N., Cord, A. and Gruyer, D. a. H. Improved Visibility of Road Scene Images under Heterogeneous Fog. In IEEE Intelligent Vehicle Symposium (IV'10), San Diego, California, USA, pages 478-485, 2010.    
  3. Hautière, N., Tarel, J.-P. and Aubert, D. Free Space Detection for Autonomous Navigation in Daytime Foggy Weather. In IAPR Conference on Machine Vision Applications (MVA'09), Yokohama, Japan, 2009.  
  4. Tarel, J.-P. and Hautière, N. Fast Visibility Restoration from a Single Color or Gray Level Image. In IEEE International Conference on Computer Vision (ICCV'09), Kyoto, Japan, pages 2201-2208, 2009.  
  5. Hautière, N., Tarel, J.-P., Aubert, D. and Dumont, E. Blind Contrast Enhancement Assessment by Gradient Ratioing at Visible Edges. In Image Analysis and Stereology, 27 (2): 87-95, 2008.    
  6. Hautière, N., Tarel, J.-P. and Aubert, D. Simultaneous Contrast Restoration and Obstacles Detection: First Results. In IEEE Intelligent Vehicles Symposium (IV'07), Istanbul, Turkey, pages 130-135, 2007.    
  7. Hautière, N., Tarel, J.-P. and Aubert, D. Towards Fog-Free In-Vehicle Vision Systems through Contrast Restoration. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, USA, 2007.    
  8. Hautière, N., Tarel, J.-P., Aubert, D. and Dumont, E. Blind Contrast Restoration Assessment by Gradient Ratioing at Visible Edges. In International Congress for Stereology (ICS'07), Saint-Etienne, France, 2007.  
  9. Hautière, N. and Aubert, D. Contrast Restoration of Foggy Images through use of an Onboard Camera. In IEEE Conference on Intelligent Transportation Systems (ITSC'05), Vienna, Austria, pages 1090-1095, 2005.    

Slides

descriptifMVA2009 presentation

descriptifICS2007 presentation

Posters

descriptifICCV2009 poster

descriptifCVPR2007 poster

descriptifIV2007 poster

Related topics

Autonomous systems
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