Abstract
The design, development, construction and testing of an Artificial-Vision controlled Traffic-Light prototype has been carried out to rule and regulate intersections. Methods, algorithms and automatons have been built up with that purpose to provide the analysis of images and decisions making at real time. The aim has been the development of an intelligent traffic-light capable of capturing the presence or absence of vehicles, pedestrians and their particular situations defined by their trajectories. Besides the above mentioned properties we have to point out the adaptation to the precise characteristics of each crossing, as its geometry, the required equipment, etc. The project has been supervised by RACE, world wide known as experts in road safety awareness, endowing the prototype with reliability and trust.
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References
Safety Department of Real Automóvil Club de España: RACE’s Survey on Mobility in Crowded Towns: A better place to live in. Press Report, Madrid (2000) (in Spanish)
eSafety: Final Report of the eSafety Working Group on Road Saefty. European Commision, Final Report (November 2002)
CARE, Community Road Accident Database. European Commission, Transport Policies, http://europa.eu.int/comm/transport/care/
Directive of the European Parliament and of the Council relating to the protection of Pedestrians and other vulnerable road users in the event of a collision with a motor vehicle and amending Directive 70/156/EEC, Brussels (February 2003)
Department for Transport, Road Accidents Statistics Branch: Personal Injury Road Accidents: Great Britain 1998. London (1998), http://www.dft.gov.uk/
National Center for Statistics and Analysis of the National Highway Traffic Safety Administration. United States Department of Transportation, http://www-nrd.nhtsa.dot.gov/departments/nrd-30/ncsa/index.html
Statistisches Bundesamt Deutschland. Statistischer Informationsservice, Wiesbaden, Deutschland, http://www.destatis.de
Ministerio del Interior of Spain: Statistical Annual Report 2002. DGT (2002) (in Spanish), http://www.dgt.es/boletin/boletin02.html
Franke, U., Gavrilla, D.M., Görzig, S., et al.: Autonomus Driving Approaches Downtown. IEEE Intelligent Systems 13(6), 40–48 (1999)
Gavrila, D.M.: Sensor-Based Pedestrian Protection. IEEE Intelligent Systems 16(6), 77–81 (2001)
Viola, P., Jones, M.J., Snow, D.: Detecting Pedestrians Using Patterns of Motion and Appearance. In: Proc. of the 9th IEEE International Conference on Computer Vision (ICCV 2003), vol. 2, pp. 734–741 (2003)
Curio, C., Edelbrunner, J., Kalinke, T., et al.: Walking Pedestrian Recognition. IEEE Trans. Intelligent Transportation Systems 1(3), 155–163 (2000)
Bodor, R., Jackson, B., Papanikolopoulos, N.: Vision-Based Human Tracking and Activity Recognition. In: Proc. of the 11th Mediterranean Conf. on Control and Automation (2003)
Papanikolopoulos, N.: Pedestrian Control at Intersections. Intelligent transportation Systems Institute, University of Minnesota (2000)
Efros, A.A., Berg, A.C., Mori, G., et al.: Recognizing Action at a Distance. In: Proc. of the 9th IEEE International Conference on Computer Vision (ICCV 2003), vol. 2, pp. 726–733 (2003)
Xu, F., Fujimura, K.: Pedestrian Detection and Tracking with Night Vision. In: Proc. IEEE Intelligent Vehicle Symposium, Versailles, France (2002)
Kang, S., Byun, H., Lee, S.: Real-Time Pedestrian Detection using Support Vector Machines. Int. J. of Pattern Recognition and Artificial Intelligence 17(3), 405–416 (2003)
Obolensky, N., Erdogmus, D., Principe, J.C.: An Time-Varing Kalman Filter to Moving Target Tracking. In: Proc. of CONTROLO 2002, pp. 418–422 (2002)
Jain, R., Kasturi, R., Schunck, B.G.: Machine Vision. McGraw-Hill, New York (1995)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1993)
Kalman, R.E.: A New Approach to Linear Filtering and Prediction Problems. Trans. of the ASME-Journal of Basic Engineering 82(Series D), 35–45 (1960)
Hargrave, P.J.: A tutorial Introduction to Kalman Filtering. IEEE Colloquium on Kalman Filters: Introduction, Applications and Future Developments, Digest no. 27 (1989)
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Serrano, Á., Conde, C., Rodríguez-Aragón, L.J., Montes, R., Cabello, E. (2005). Computer Vision Application: Real Time Smart Traffic Light. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2005. EUROCAST 2005. Lecture Notes in Computer Science, vol 3643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556985_68
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DOI: https://doi.org/10.1007/11556985_68
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