Computer vision application: real time smart traffic light

  • Authors:
  • Ángel Serrano;Cristina Conde;Licesio J. Rodríguez-Aragón;Raquel Montes;Enrique Cabello

  • Affiliations:
  • Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Móstoles, (Madrid), Spain;Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Móstoles, (Madrid), Spain;Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Móstoles, (Madrid), Spain;Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Móstoles, (Madrid), Spain;Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Móstoles, (Madrid), Spain

  • Venue:
  • EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
  • Year:
  • 2005

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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.