Computational modeling of visual attention, Nature Reviews Neuroscience, vol.2, issue.3, pp.194-203, 2001. ,
DOI : 10.1038/35058500
Contextual priming for object detection, 2003. ,
Goal-Directed Search with a Top-Down Modulated Computational Attention System, Pattern Recognition, 2005. ,
DOI : 10.1007/11550518_15
Towards a human-like vision system for resource-constrained intelligent cars, The 5th Int. Conf. on Computer Vision Systems Conference. Universit.tsbibliothek Bielefeld, 2007. ,
Predictive eye movements in natural vision, Experimental brain research, pp.1-12, 2012. ,
Multicue pedestrian classification with partial occlusion handling, pp.990-997, 2010. ,
Integrated pedestrian classification and orientation estimation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.982-989, 2010. ,
DOI : 10.1109/CVPR.2010.5540110
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.3234
Pedestrian Protection Systems: Issues, Survey, and Challenges, IEEE Transactions on Intelligent Transportation Systems, vol.8, issue.3, pp.413-430, 2007. ,
DOI : 10.1109/TITS.2007.903444
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.6405
Pedestrian detection: A benchmark, Computer Vision and Pattern Recognition (CVPR), 2009. ,
Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005. ,
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512
The Fastest Pedestrian Detector in the West, Procedings of the British Machine Vision Conference 2010, 2010. ,
DOI : 10.5244/C.24.68
Pedestrian detection: An evaluation of the state of the art, 2011. ,
Multi-target tracking in clutter without measurement assignment. Aerospace and Electronic Systems, IEEE Transactions on, vol.44, issue.3, pp.877-896, 2008. ,
Vehicle detection fusing 2d visual features, Intelligent Vehicles Symposium, pp.280-285, 2004. ,
Kalman filter based depth from motion with fast convergence, IEEE Proceedings. Intelligent Vehicles Symposium, 2005., pp.181-186, 2005. ,
DOI : 10.1109/IVS.2005.1505099
Cars detection and tracking with a vision sensor, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), pp.593-598, 2003. ,
DOI : 10.1109/IVS.2003.1212979
URL : https://hal.archives-ouvertes.fr/inria-00548237
System approach for multi-purpose representations of traffic scene elements, 13th International IEEE Conference on Intelligent Transportation Systems, 2010. ,
DOI : 10.1109/ITSC.2010.5625234
Optimal state estimation: Kalman, H infinity, and nonlinear approaches, 2006. ,
DOI : 10.1002/0470045345
Multi-target particle filtering for the probability hypothesis density, Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003. ,
DOI : 10.1109/ICIF.2003.177321
An integrated model of top-down and bottom-up attention for optimal object detection, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2049-2056, 2006. ,
Guided Search 2.0 A revised model of visual search, Psychonomic Bulletin & Review, vol.18, issue.2, pp.202-238, 1994. ,
DOI : 10.3758/BF03200774
Predictive coding as a model of biased competition in visual attention, Vision Research, vol.48, issue.12, pp.1391-1408, 2008. ,
DOI : 10.1016/j.visres.2008.03.009
Modeling feature-based attention as an active topdown inference process, Biosystems, vol.86, issue.1-3, pp.91-99, 2006. ,
A Neurodynamical cortical model of visual attention and invariant object recognition, Vision Research, vol.44, issue.6, pp.621-642, 2004. ,
DOI : 10.1016/j.visres.2003.09.037
Towards a human-like vision system for resource-constrained intelligent cars, The 5th International Conference on Computer Vision Systems, 2007. ,
Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues, Cognitive Computation, vol.10, issue.2, pp.146-166, 2011. ,
DOI : 10.1007/s12559-010-9092-x
URL : https://hal.archives-ouvertes.fr/hal-00647809
A Hierarchical System Integration Approach with Application to Visual Scene Exploration for Driver Assistance, ICVS, 2009. ,
DOI : 10.1007/978-3-642-04667-4_26
Dynamic 3D Scene Analysis from a Moving Vehicle, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383146
Learning OpenCV: Computer vision with the OpenCV library, 2008. ,
Are we ready for autonomous driving? The KITTI vision benchmark suite, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.3354-3361, 2012. ,
DOI : 10.1109/CVPR.2012.6248074