A Survey on Traffic Light Detection

  • Moises DiazEmail author
  • Pietro Cerri
  • Giuseppe Pirlo
  • Miguel A. Ferrer
  • Donato Impedovo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)


Traffic light detection is an important matter in urban environments during the transition to fully autonomous driving. Many literature has been generated in the recent years approaching different pattern recognition strategies. In this paper we present a survey summarizing relevant works in the field of detection of both suspended and supported traffic light. This survey organizes different methods highlighting main reasearch areas in the computer vision field.


Traffic light detection survey Advanced driver assistance systems Intelligent transportation systems Image recognition Intelligent vehicles 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Moises Diaz
    • 1
    Email author
  • Pietro Cerri
    • 2
  • Giuseppe Pirlo
    • 3
  • Miguel A. Ferrer
    • 1
  • Donato Impedovo
    • 4
  1. 1.Instituto Universitario para el Desarrollo Tecnológico y la Innovación en ComunicacionesUniversidad de las Palmas de Gran CanariaLas PalmasSpain
  2. 2.VisLab, University of ParmaParmaItaly
  3. 3.Dipartimento di InformaticaUniversitá degli Studi di Bari Aldo MoroBariItaly
  4. 4.DyrectaLabConversanoItaly

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