A Survey on Traffic Light Detection
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-23222-5_25
Reference35 articles.
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.2010.71
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 2012
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 2008
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 2009
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 2009
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