=. État, E. Normal, and <. , Flèche" = NON Il s'agit de la situation classique où le véhicule croise un panneau de limitation temporaire sans panonceau "Flèche

=. État and E. Bord-de-route, = p(T 4 ? T 6)) ET "Flèche" = NON En bord de route, les panneaux détectés peuvent s'appliquer à une route parallèle sauf s'ils sont suffisamment proches ou situés de l

. Au-niveau-d, une entrée ou sortie, un panneau sera pris en compte s'il est situé du côté opposé à cette voie

=. État, E. Sortie, <. Bord, and E. , Flèche" = OUI Lorsque le véhicule a emprunté la sortie, il peut détecter les panneaux affectés à l

F. Nashashibi and B. Bradai, A Complete System to Determine the Speed Limit by Fusing a GIS and a Camera, IEEE International Conference on Intelligent Transportation Systems (ITSC), pp.1686-1691, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00646592

. Bibliographie and . Bahlmann, Multi- Modal Speed Limit Assistants : Combining Camera and GPS Maps, IEEE Intelligent Vehicles Symposium, pp.132-137, 2008.

. Bahlmann, A system for traffic sign detection, tracking, and recognition using color, shape, and motion information, IEEE Proceedings. Intelligent Vehicles Symposium, 2005., pp.255-260, 2005.
DOI : 10.1109/IVS.2005.1505111

. Bay, Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, vol.110, issue.3, pp.346-359, 2008.
DOI : 10.1016/j.cviu.2007.09.014

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

. Bloch, . Maitre, I. Bloch, and H. Maitre, Fusion of Image Information under Imprecision . Aggregation and Fusion of Imperfect Information pp, pp.189-213, 1998.

. Bosch, Image Classification using Random Forests and Ferns, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4409066

. Bosch, Representing shape with a spatial pyramid kernel, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.401-408, 2007.
DOI : 10.1145/1282280.1282340

. Boser, A training algorithm for optimal margin classifiers, Proceedings of the fifth annual workshop on Computational learning theory , COLT '92, pp.144-152, 1992.
DOI : 10.1145/130385.130401

L. Breiman, Random Forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

H. Bunke, Syntactic and Structural Pattern Recognition : Theory and Applications, 1990.
DOI : 10.1142/0580

C. , D. Chanda, G. Dellaert, and F. , Grammatical Methods in Computer Vision : An Overview, 2004.

C. , L. Chang, C. Lin, and C. , LIBSVM : A Library for Support Vector Machines, Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011.

N. Dalal and B. Triggs, 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

L. Daniel, J. Daniel, and J. Lauffenburger, Conflict management in multi-sensor dempster-shafer fusion for speed limit determination, 2011 IEEE Intelligent Vehicles Symposium (IV), pp.985-990, 2011.
DOI : 10.1109/IVS.2011.5940398

B. V. Dasarathy, Sensor fusion potential exploitation-innovative architectures and illustrative applications, Proceedings of the IEEE, vol.85, issue.1, pp.24-38, 1997.
DOI : 10.1109/5.554206

L. De and . Escalera, Traffic Sign Recognition and Analysis for Intelligent Vehicles, Image and Vision Computing, vol.21, issue.3, pp.247-258, 2003.

E. De-la, Road traffic sign detection and classification, IEEE Transactions on Industrial Electronics, vol.44, issue.6, pp.848-859, 1997.
DOI : 10.1109/41.649946

A. P. Dempster, Upper and Lower Probabilities Induced by a Multivalued Mapping, The Annals of Mathematical Statistics, vol.38, issue.2, pp.325-359, 1967.
DOI : 10.1214/aoms/1177698950

E. R. Dougherty, An Introduction to Morphological Image Processing, 1992.

P. Dubois, D. Dubois, and H. Prade, Possibility Theory : An Approach to Computerized Processing of Uncertainty, 1988.

. Ehrlich, LAVIA , The French ISA Project : Main Issues and First Results on Technical Tests, IEEE Intelligent Transport Systems, pp.1-11, 2003.

H. Felzenszwalb, P. F. Felzenszwalb, and D. P. Huttenlocher, Efficient Graph-Based Image Segmentation, International Journal of Computer Vision, vol.59, issue.2, pp.167-181, 2004.
DOI : 10.1023/B:VISI.0000022288.19776.77

Y. Freund and R. E. Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, Journal of Computer and System Sciences, vol.55, issue.1, pp.119-139, 1997.
DOI : 10.1006/jcss.1997.1504

. Garcia-garrido, Fast traffic sign detection and recognition under changing lighting conditions, 2006 IEEE Intelligent Transportation Systems Conference, pp.811-816, 2006.
DOI : 10.1109/ITSC.2006.1706843

. Garza-jinich, Robust retrieval of three-dimensional structures from image stacks, Medical Image Analysis, vol.3, issue.1, pp.21-35, 1999.
DOI : 10.1016/S1361-8415(99)80014-0

. Gdalyahu, Y. Gdalyahu, and D. Weinshall, Flexible syntactic matching of curves and its application to automatic hierarchical classification of silhouettes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.12, pp.1312-1328, 1999.
DOI : 10.1109/34.817410

. Hamdoun, Detection and Recognition of End-of-Speed-Limit and Supplementary Signs for Improved European Speed Limit Support, World Congress on Intelligent Transport Systems, pp.7-10, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00332037

S. Harris, C. Harris, and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, pp.147-152, 1988.
DOI : 10.5244/C.2.23

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

. Huang, An Efficient Method of License Plate Location in Natural-Scene Image, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, pp.15-19, 2008.
DOI : 10.1109/FSKD.2008.230

A. Idrissa, Texture classification using Gabor filters, Pattern Recognition Letters, vol.23, issue.9, pp.1095-1102, 2002.
DOI : 10.1016/S0167-8655(02)00056-9

. Jain, Statistical pattern recognition: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.4-37, 2000.
DOI : 10.1109/34.824819

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

S. Jamson, Would those who need ISA, use it? Investigating the relationship between drivers??? speed choice and their use of a voluntary ISA system, Transportation Research Part F: Traffic Psychology and Behaviour, vol.9, issue.3, pp.195-206, 2006.
DOI : 10.1016/j.trf.2005.11.002

C. R. Jung and R. Schramm, Rectangle detection based on a windowed Hough transform, Proceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing, pp.113-120, 2004.
DOI : 10.1109/SIBGRA.2004.1352951

. Kang, An invariant traffic sign recognition system based on sequential color processing and geometrical transformation, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pp.88-93, 1994.
DOI : 10.1109/IAI.1994.336679

. Keller, Real-time recognition of U.S. speed signs, 2008 IEEE Intelligent Vehicles Symposium, pp.518-523, 2008.
DOI : 10.1109/IVS.2008.4621282

. Kokar, . Kim, M. M. Kokar, and K. Kim, Preface to the special section on data fusion: Architectures and issues, Control Engineering Practice, vol.2, issue.5, pp.803-809, 1994.
DOI : 10.1016/0967-0661(94)90345-X

. Lagunovsky, . Ablameyko, D. Lagunovsky, and S. Ablameyko, Fast line and rectangle detection by clustering and grouping, International Conference on Computer Analysis of Images and Patterns, pp.503-510, 1997.
DOI : 10.1007/3-540-63460-6_156

. Lampert, Beyond sliding windows: Object localization by efficient subwindow search, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587586

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

. Lauffenburger, Navigation and Speed Signs Recognition Fusion for Enhanced Vehicle Location, IFAC Proceedings Volumes, vol.41, issue.2, pp.2069-2074, 2008.
DOI : 10.3182/20080706-5-KR-1001.00351

S. Li, S. Li, and J. Shawe-taylor, Comparison and fusion of multiresolution features for texture classification, Pattern Recognition Letters, vol.26, issue.5, pp.633-638, 2005.
DOI : 10.1016/j.patrec.2004.09.013

F. Lin, W. Lin, and K. Fu, A Syntactic Approach to Three-Dimensional Object Recognition, IEEE Transactions on Systems, Man, and Cybernetics, vol.16, issue.3, pp.405-422, 1986.
DOI : 10.1109/TSMC.1986.4308972

. Liu, An efficient real-time speed limit signs recognition based on rotation invariant feature, 2011 IEEE Intelligent Vehicles Symposium (IV), pp.998-1003, 2011.
DOI : 10.1109/IVS.2011.5940428

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

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

B. Loy, G. Loy, and N. Barnes, Fast shape-based road sign detection for a driver assistance system, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), pp.70-75, 2004.
DOI : 10.1109/IROS.2004.1389331

P. Mcculloch, W. S. Mcculloch, and W. Pitts, A logical calculus of the ideas immanent in nervous activity, The Bulletin of Mathematical Biophysics, vol.5, issue.4, pp.115-133, 1943.
DOI : 10.1007/BF02478259

. Meyer, The support vector machine under test, Neurocomputing, vol.55, issue.1-2, pp.169-186, 2003.
DOI : 10.1016/S0925-2312(03)00431-4

K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.525-531, 2001.
DOI : 10.1109/ICCV.2001.937561

URL : https://hal.archives-ouvertes.fr/inria-00548276

. Miura, An active vision system for real-time traffic sign recognition, ITSC2000. 2000 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.00TH8493), pp.52-57, 2000.
DOI : 10.1109/ITSC.2000.881017

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

. Mori, Historical review of OCR research and development, Proceedings of the IEEE, vol.80, issue.7, pp.1029-1058, 1992.
DOI : 10.1109/5.156468

. Müller, An introduction to kernel-based learning algorithms, IEEE Transactions on Neural Networks, vol.12, issue.2, pp.181-202, 2001.
DOI : 10.1109/72.914517

S. Mumford, D. Mumford, and J. Shah, Boundary Detection by Minimizing Functionals, IEEE Conference on Computer Vision and Pattern Recognition, pp.137-154, 1985.

. Nienhüser, A Situation context aware Dempster-Shafer fusion of digital maps and a road sign recognition system, 2009 IEEE Intelligent Vehicles Symposium, pp.1401-1406, 2009.
DOI : 10.1109/IVS.2009.5164490

. Nienhüser, Fast and reliable recognition of supplementary traffic signs, 2010 IEEE Intelligent Vehicles Symposium, pp.896-901, 2010.
DOI : 10.1109/IVS.2010.5548024

. Paclik, Building Road-Sign Classifiers Using a Trainable Similarity Measure, IEEE Transactions on Intelligent Transportation Systems, vol.7, issue.3, pp.309-321, 2006.
DOI : 10.1109/TITS.2006.880627

. Piccioli, Robust method for road sign detection and recognition, Image and Vision Computing, vol.14, issue.3, pp.209-223, 1996.
DOI : 10.1016/0262-8856(95)01057-2

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

. Puthon, Improvement of multisensor fusion in speed limit determination by quantifying navigation reliability, 13th International IEEE Conference on Intelligent Transportation Systems, pp.855-860, 2010.
DOI : 10.1109/ITSC.2010.5625242

URL : https://hal.archives-ouvertes.fr/hal-00546167

J. R. Quinlan, Induction of decision trees, Machine Learning, vol.1, issue.1, pp.81-106, 1986.
DOI : 10.1007/BF00116251

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

W. Roth, P. M. Roth, and M. Winter, Survey of Appearance-based Methods for Object Recognition, 2008.

P. Rousson and N. Paragios, Shape Priors for Level Set Representations, European Conference on Computer Vision, pp.78-92, 2002.
DOI : 10.1007/3-540-47967-8_6

. Rumelhart, Learning representations by back-propagating errors, Nature, vol.85, issue.6088, pp.533-536, 1986.
DOI : 10.1038/323533a0

. Ruta, Real-time traffic sign recognition from video by class-specific discriminative features, Pattern Recognition, vol.43, issue.1, pp.416-430, 2010.
DOI : 10.1016/j.patcog.2009.05.018

. Sekiguchi, Interactive 3-dimensional segmentation method based on region growing method, Systems and Computers in Japan, vol.8, issue.3, pp.88-97, 1994.
DOI : 10.1002/scj.4690250108

F. Sentz, K. Sentz, and S. Ferson, Combination of Evidence in Dempster- Shafer Theory, 2002.
DOI : 10.2172/800792

J. A. Sethian, Level Set Methods : An Act of Violence, 1997.

G. Shafer, A Mathematical Theory of Evidence, 1976.

B. Steinberg, A. N. Steinberg, and C. L. Bowman, Rethinking the JDL Data Fusion Levels, MSS National Symposium on Sensor and Data Fusion, 2004.

. Steinberg, Revisions to the JDL Data Fusion Model In : Society of Photo-Optical Instrumentation Engineers -Sensor Fusion, pp.430-441, 1998.

M. R. Teague, Image analysis via the general theory of moments*, Journal of the Optical Society of America, vol.70, issue.8, pp.920-930, 1980.
DOI : 10.1364/JOSA.70.000920

M. Tuytelaars, T. Tuytelaars, and K. Mikolajczyk, Local Invariant Feature Detectors: A Survey, Foundations and Trends?? in Computer Graphics and Vision, vol.3, issue.3, pp.177-280, 2007.
DOI : 10.1561/0600000017

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

L. Vincent, Morphological grayscale reconstruction in image analysis: applications and efficient algorithms, IEEE Transactions on Image Processing, vol.2, issue.2, pp.176-201, 1993.
DOI : 10.1109/83.217222

P. Viola and M. Jones, Robust Real-Time Object Detection, IEEE Workshop on Statistical and Computational Theories of Vision -Modeling, Learning, Computing and Sampling, pp.137-154, 2001.

. Vlassenroot, Driving with intelligent speed adaptation: Final results of the Belgian ISA-trial, Transportation Research Part A: Policy and Practice, vol.41, issue.3, pp.267-279, 2007.
DOI : 10.1016/j.tra.2006.05.009

. Wang, Learning Structural Knowledge from the ECG, In : Medical Data Analysis, pp.288-294, 2001.
DOI : 10.1007/3-540-45497-7_44

F. E. White, A Model for Data Fusion, National Symposium on Sensor Fusion, pp.149-158, 1988.

. Wu, Probability Estimates for Multiclass Classification by Pairwise Coupling, Machine Learning Research, vol.5, pp.975-1005, 2004.

L. A. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965.
DOI : 10.1016/S0019-9958(65)90241-X

. Zaklouta, Traffic sign classification using K-d trees and Random Forests, The 2011 International Joint Conference on Neural Networks, pp.2151-2155, 2011.
DOI : 10.1109/IJCNN.2011.6033494

. Zhang, EM algorithms for Gaussian mixtures with split-and-merge operation, Pattern Recognition, vol.36, issue.9, pp.1973-1983, 2003.
DOI : 10.1016/S0031-3203(03)00059-1

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

S. W. Zucker, Region growing: Childhood and adolescence, Computer Graphics and Image Processing, vol.5, issue.3, pp.382-399, 1976.
DOI : 10.1016/S0146-664X(76)80014-7