Advertisement

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)

Abstract

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.

Keywords

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

References

  1. 1.
    Angin, P., Bhargava, B., Helal, S.: A mobile-cloud collaborative traffic lights detector for blind navigation. In: Proceedings of the 2010 Eleventh International Conference on Mobile Data Management, MDM 2010, pp. 396–401. IEEE Computer Society, Washington, DC (2010). doi: 10.1109/MDM.2010.71Google Scholar
  2. 2.
    Cai, Z., Li, Y., Gu, M.: Real-time recognition system of traffic light in urban environment. In: 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), pp. 1–6, July 2012Google Scholar
  3. 3.
    Caraffi, C., Cardarelli, E., Medici, P., Porta, P., Ghisio, G., Monchiero, G.: An algorithm for italian de-restriction signs detection. In: 2008 IEEE Intelligent Vehicles Symposium, pp. 834–840, June 2008Google Scholar
  4. 4.
    de Charette, R., Nashashibi, F.: Real time visual traffic lights recognition based on spot light detection and adaptive traffic lights templates. In: 2009 IEEE Intelligent Vehicles Symposium, pp. 358–363, June 2009Google Scholar
  5. 5.
    de Charette, R., Nashashibi, F.: Traffic light recognition using image processing compared to learning processes. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 333–338, October 2009Google Scholar
  6. 6.
    Chung, Y., Wang, J., Chen, S.: A vision-based traffic light detection system at intersections. Journal of Taiwan Normal University: Mathematics, Science and Technology 47(1), 67–86 (2002)Google Scholar
  7. 7.
    Diaz-Cabrera, M., Cerri, P.: Traffic light recognition during the night based on fuzzy logic clustering. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2013, Part II. Lecture Notes in Computer Science, vol. 8112, pp. 93–100. Springer, Berlin Heidelberg (2013)CrossRefGoogle Scholar
  8. 8.
    Diaz-Cabrera, M., Cerri, P., Medici, P.: Robust real-time traffic light detection and distance estimation using a single camera. Expert Systems with Applications 42(8), 3911–3923 (2015)CrossRefGoogle Scholar
  9. 9.
    Diaz-Cabrera, M., Cerri, P., Sanchez-Medina, J.J.: Suspended traffic lights detection and distance estimation using color features. In: Intelligent Transportation System Conference - ITSC 2012 IEEE, pp. 1315–1320, September 2012Google Scholar
  10. 10.
    Fairfield, N., Urmson, C.: Traffic light mapping and detection. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 5421–5426, May 2011Google Scholar
  11. 11.
    Gevers, T., Smeulders, A.W.M.: Color-based object recognition. Pattern Recognition 32(3), 453–464 (1999)CrossRefGoogle Scholar
  12. 12.
    Gomez, A., Alencar, F., Prado, P., Osorio, F., Wolf, D.: Traffic lights detection and state estimation using hidden markov models. In: 2014 IEEE Intelligent Vehicles Symposium Proceedings, pp. 750–755, June 2014Google Scholar
  13. 13.
    Huang, Y.S., Lee, Y.S.: Detection and recognition of speed limit signs. In: 2010 International Computer Symposium (ICS), pp. 107–112, December 2010Google Scholar
  14. 14.
    Ivanchenko, V., Coughlan, J., Shen, H.: Real-time walk light detection with a mobile phone. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010, Part II. Lecture Notes in Computer Science, vol. 6180, pp. 229–234. Springer, Berlin Heidelberg (2010)CrossRefGoogle Scholar
  15. 15.
    Jang, C., Kim, C., Kim, D., Lee, M., Sunwoo, M.: Multiple exposure images based traffic light recognition. In: 2014 IEEE Intelligent Vehicles Symposium Proceedings, pp. 1313–1318, June 2014Google Scholar
  16. 16.
    Jie, Y., Xiaomin, C., Pengfei, G., Zhonglong, X.: A new traffic light detection and recognition algorithm for electronic travel aid. In: 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), pp. 644–648, June 2013Google Scholar
  17. 17.
    John, V., Yoneda, K., Qi, B., Liu, Z., Mita, S.: Traffic light recognition in varying illumination using deep learning and saliency map. In: 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), pp. 2286–2291, October 2014Google Scholar
  18. 18.
    Kerbyson, D., Atherton, T.: Circle detection using hough transform filters. In: Fifth International Conference on Image Processing and its Applications, pp. 370–374, July 1995Google Scholar
  19. 19.
    Kim, K.T.: Stvc: Secure traffic-light to vehicle communication. In: 2012 4th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 96–104. IEEE (2012)Google Scholar
  20. 20.
    Kim, H.K., Shin, Y.N., Kuk, S.G., Park, J.H., Jung, H.Y.: Night-time traffic light detection based on svm with geometric moment features. World Academy of Science, Engineering and Technology 7(4), 454–457 (2013)Google Scholar
  21. 21.
    Levinson, J., Askeland, J., Dolson, J., Thrun, S.: Traffic light mapping, localization, and state detection for autonomous vehicles. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 5784–5791 (2011)Google Scholar
  22. 22.
    Lindner, F., Kressel, U., Kaelberer, S.: Robust recognition of traffic signals. In: 2004 IEEE Intelligent Vehicles Symposium, pp. 49–53, June 2004Google Scholar
  23. 23.
    Mu, G., Xinyu, Z., Deyi, L., Tianlei, Z., Lifeng, A.: Traffic light detection and recognition for autonomous vehicles. The Journal of China Universities of Posts and Telecommunications 22(1), 50–56 (2015)CrossRefGoogle Scholar
  24. 24.
    Omachi, M., Omachi, S.: Traffic light detection with color and edge information. In: 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, pp. 284–287, August 2009Google Scholar
  25. 25.
    Omachi, M., Omachi, S.: Detection of traffic light using structural information. In: 2010 IEEE 10th International Conference on Signal Processing (ICSP), pp. 809–812, October 2010Google Scholar
  26. 26.
    Premachandra, H.C.N., Yendo, T., Tehrani, M.P., Yamazato, T., Okada, H., Fujii, T., Tanimoto, M.: High-speed-camera image processing based led traffic light detection for road-to-vehicle visible light communication. In: 2010 IEEE Intelligent Vehicles Symposium (IV), pp. 793–798. IEEE (2010)Google Scholar
  27. 27.
    Roters, J., Jiang, X., Rothaus, K.: Recognition of traffic lights in live video streams on mobile devices. IEEE Transactions on Circuits and Systems for Video Technology 21(10), 1497–1511 (2011)CrossRefGoogle Scholar
  28. 28.
    Shaded, W., Abu-Al-Nadi, D., Mismar, M.: Road traffic sign detection in color images. In: IEEE International Conference on Electronics, Circuits and Systems, pp. 890–893 (2003)Google Scholar
  29. 29.
    Shen, Y., Ozguner, U., Redmill, K., Liu, J.: A robust video based traffic light detection algorithm for intelligent vehicles. In: 2009 IEEE Intelligent Vehicles Symposium, pp. 521–526, June 2009Google Scholar
  30. 30.
    Sooksatra, S., Kondo, T.: Red traffic light detection using fast radial symmetry transform. In: 2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 1–6, May 2014Google Scholar
  31. 31.
    Tae-Hyun, H., In-Hak, J., Seong-Ik, C.: Detection of traffic lights for vision-based car navigation system. In: Chang, L.-W., Lie, W.-N. (eds.) PSIVT 2006. LNCS, vol. 4319, pp. 682–691. Springer, Heidelberg (2006) CrossRefGoogle Scholar
  32. 32.
    Trehard, G., Pollard, E., Bradai, B., Nashashibi, F.: Tracking both pose and status of a traffic light via an interacting multiple model filter. In: 2014 17th International Conference on Information Fusion (FUSION), pp. 1–7, July 2014Google Scholar
  33. 33.
    Vu, A., Ramanandan, A., Chen, A., Farrell, J., Barth, M.: Real-time computer vision/dgps-aided inertial navigation system for lane-level vehicle navigation. IEEE Transactions on Intelligent Transportation Systems 13(2), 899–913 (2012)CrossRefGoogle Scholar
  34. 34.
    Walad, K.P., Shetty, J.: Traffic light control system using image processing. International Journal of Innovative Research in Computer and Communication Engineering 2 (2014)Google Scholar
  35. 35.
    Yu, C., Huang, C., Lang, Y.: Traffic light detection during day and night conditions by a camera. In: 2010 IEEE 10th International Conference on Signal Processing (ICSP), pp. 821–824, October 2010Google Scholar

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

Personalised recommendations