Abstract
We propose a detection and classification system for road curvature, which is robust to light changes and different road markings. The road curves in an image are first filtered to detect the road marks and borders. The contrast gradient angle of the detected regions are accumulated in a histogram. The resulting histograms are used to train a Kohonen Neural Network. The final output classification shows the mapping of a sequence of scenes on the network centroids, giving a correlation of the transitions between classes and represented situations. This may be used later to improve road security, indicating dangerous situations to the driver or feeding a driving control system.
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References
Batavia, P., Pomerleau, D., Thorpe, C.: Applying Advanced Learning Algorithms to ALVINN. Techinical report CMU-RI-TR-96-31, Robotics Institute, Carnegie Mellon University (1996)
Crisman, J.D., Thorpe, C.E.: SCARF – A color vision system that tracks roads and intersections. IEEE Transactions on Robotics and Automation 9(1), 49–58 (1993)
Kim, K.I., Kim, S.W., Oh, S.Y.: Autonomous Land Vehicle: PRV III. In: Proceedings 6th Korea-Japan Joint Workshop on Computer Vision, Nagoya, Japan, pp. 32–37 (2000)
Brunelli, R., Poggio, T.: Face recognition: Features versus Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(10), 1042–1052 (1993)
Edelman, S., Intrator, N., Poggio, T.: Complex cells and object recognition (submitted 1997)
Marr, D.: Vision. Freeman and Company, New York (1982)
Ieng, S.-S., Tarel, J.-P.: On the design of a single lane-markings detector regardless the on-board camera’s position. To appear in Proceedings of IEEE Intelligent Vehicles Symposium, IV 2003, Columbus, OH, USA (2003)
Deriche, R.: Using Canny’s criteria to derive a recursively implemented optimal edge detector. International Journal of Computer Vision 1(2), 167–187 (1987)
Tarel, J.-P., Guichard, F.: Combined dynamic tracking and recognition of curves with application to road detection. In: Proceedings of International Conference on Image Processing, IEEE ICIP 2000, Vancouver, Canada, vol. I, pp. 216–219 (2000)
Risack, R., Klausmann, P., Kruger, W., Enkelmann, W.: Robust lane recognition embedded in a real time driver assistance system. In: Proceedings of Intelligent Vehicles Symposium, IV 1998, Stuttgart, Germany, vol. 1, pp. 35–40 (1998)
Wang, Y., Shen, D., Teoh, E.K.: Lane detection using catmull-rom spline. In: Proceedings of Intelligent Vehicles Symposium, IV 1998, Stuttgart, Germany, vol. 1, pp. 51–57 (1998)
Kohonen, T.: Self-organizing maps. Springer, Berlin (1995)
de Bold, E., Cotrell, M., Verleysen, M.: Statistical tools to asses the reliability of self-organizing maps. Neural Networks 15, 967–978 (2002)
Leitāo, A.P., Tilie, S., Mangeas, M., Tarel, J.-P., Vigneron, V., Lelandais, S.: Road Singularities Detection and Classification. In: Proceedings of the 11th European Symposium on Artificial Neural Networks, ESANN 2003, Bruges, Belgium, pp. 301–306 (2003)
Ward, J.H.: Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association 58, 236–244 (1963)
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Leitão, A.P., Tilie, S., Ieng, S.S., Vigneron, V. (2003). Detecting and Classifying Road Turn Directions from a Sequence of Images. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_68
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DOI: https://doi.org/10.1007/978-3-540-45179-2_68
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