Abstract
Automatic road-signs recognition is becoming a part of Driver Assisting Systems which role is to increase safety and driving comfort. In this paper we present architecture and obtained results of the Polish project on the road-signs recognition system. A holistic approach was undertaken, focusing on interaction of different components of the system.
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References
Abe, S.: Support Vector Machines for Pattern Classification. Springer, Heidelberg (2005)
Brox, T., et al.: Adaptive Structure Tensors and their Applications. In: Weickert, J., Hagen, H. (eds.) Visualization and Processing of Tensor Fields, pp. 17–47. Springer, Heidelberg (2006)
Cyganek, B.: Circular Road Signs Recognition with Affine Moment Invariants and the Probabilistic Neural Classifier. In: Beliczynski, B., et al. (eds.) ICANNGA 2007. LNCS, vol. 4432, pp. 508–516. Springer, Heidelberg (2007)
Cyganek, B.: Circular Road Signs Recognition with Soft Classifiers. Integrated Computer-Aided Engineering 14(4), 323–343 (2007)
Cyganek, B.: Real-Time Detection of the Triangular and Rectangular Shape Road Signs. LNCS, vol. 4768, pp. 744–755. Springer, Heidelberg (2007)
Cyganek, B.: Road Signs Recognition by the Scale-Space Template Matching in the Log-Polar Domain. In: Martí, J., et al. (eds.) IbPRIA 2007. LNCS, vol. 4477, pp. 330–337. Springer, Heidelberg (2007)
Cyganek, B.: Soft System for Road Sign Detection. In: Advances in Soft Computing 41, pp. 316–326. Springer, Heidelberg (2007)
Cyganek, B.: Committee Machine for Road-Signs Classification. In: Rutkowski, L., et al. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 583–592. Springer, Heidelberg (2006)
Cyganek, B.: Hardware-Software System for Acceleration of Image Processing Operations. In: The International Conference on Computer Vision and Graphics (2006)
Cyganek, B.: Matching of the Multi-channel Images with Improved Nonparametric Transformations and Weighted Binary Distance Measures. In: Reulke, R., et al. (eds.) IWCIA 2006. LNCS, vol. 4040, pp. 74–88. Springer, Heidelberg (2006)
Cyganek, B.: Object Detection in Multi-channel and Multi-scale Images Based on the Structural Tensor. In: Gagalowicz, A., Philips, W. (eds.) CAIP 2005. LNCS, vol. 3691, pp. 570–578. Springer, Heidelberg (2005)
DaimlerChrysler, The Thinking Vehicle (2002), http://www.daimlerchrysler.com
de Escalera, A., Armingol, J.A.: Visual Sign Information Extraction and Identification by Deformable Models. IEEE Tr. On Int. Transportation Systems 5(2), 57–68 (2004)
Fang, C.-Y., Chen, S.-W., Fuh, C.-S.: Road-Sign Detection and Tracking. IEEE Transactions on Vehicular Technology 52(5), 1329–1341 (2003)
Gao, X.W., et al.: Recognition of traffic signs based on their colour and shape. J. Vis.Comm. & Image Repr. (2005)
Maldonado-Bascn, S., et al.: Road-Sign Detection and Recognition Based on Support Vector Machines. IEEE Tr. on Intelligent Transportation Systems 8(2), 264–278 (2007)
Paclk, P., Novoviov, J., Duin, R.P.W.: Building road sign classifiers using a trainable similarity measure. IEEE Trans. on Int. Transportation Systems 7(3), 309–321 (2006)
Road Signs and Signalization. Directive of the Polish Ministry of Infrastructure, Internal Affairs and Administration (Dz. U. Nr 170, poz. 1393) (2002)
Siemens VDO (2007), http://usa.siemensvdo.com/topics/adas/traffic-sign-recognition/
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Cyganek, B. (2008). Road-Signs Recognition System for Intelligent Vehicles. In: Sommer, G., Klette, R. (eds) Robot Vision. RobVis 2008. Lecture Notes in Computer Science, vol 4931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78157-8_17
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DOI: https://doi.org/10.1007/978-3-540-78157-8_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78156-1
Online ISBN: 978-3-540-78157-8
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