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.
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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.2010.71
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 2012
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 2008
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 2009
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 2009
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)
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)
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)
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 2012
Fairfield, N., Urmson, C.: Traffic light mapping and detection. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 5421–5426, May 2011
Gevers, T., Smeulders, A.W.M.: Color-based object recognition. Pattern Recognition 32(3), 453–464 (1999)
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 2014
Huang, Y.S., Lee, Y.S.: Detection and recognition of speed limit signs. In: 2010 International Computer Symposium (ICS), pp. 107–112, December 2010
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)
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 2014
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 2013
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 2014
Kerbyson, D., Atherton, T.: Circle detection using hough transform filters. In: Fifth International Conference on Image Processing and its Applications, pp. 370–374, July 1995
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)
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)
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)
Lindner, F., Kressel, U., Kaelberer, S.: Robust recognition of traffic signals. In: 2004 IEEE Intelligent Vehicles Symposium, pp. 49–53, June 2004
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)
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 2009
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 2010
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)
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)
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)
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 2009
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 2014
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)
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 2014
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)
Walad, K.P., Shetty, J.: Traffic light control system using image processing. International Journal of Innovative Research in Computer and Communication Engineering 2 (2014)
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 2010
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Diaz, M., Cerri, P., Pirlo, G., Ferrer, M.A., Impedovo, D. (2015). A Survey on Traffic Light Detection. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds) New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. ICIAP 2015. Lecture Notes in Computer Science(), vol 9281. Springer, Cham. https://doi.org/10.1007/978-3-319-23222-5_25
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DOI: https://doi.org/10.1007/978-3-319-23222-5_25
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