Open Access
Subscription Access
A Review on Road Sign Recognition
Subscribe/Renew Journal
In the present, the condition of roads has improved as compared to the past decade. So obviously the speed of the vehicles has increased and there might be chances of driver neglecting the road signs while driving which may result in road accidents. So there is a need for a system that automatically detects the road signs and helps the driver and makes the driving safer and easier. This review paper discusses the various techniques used recently for the detection and recognition of road signs. It also describes the classification of the road signs and the difficulties that arise during recognition.
Keywords
Advanced Driver Assistance System, Road Sign Detection, Recognition, Multi-Layer Perceptron.
User
Subscription
Login to verify subscription
Font Size
Information
- Greenhalgh, J., Mirmehdi, M.,”Real-time detection and recognition of road traffic signs.” IEEE Transactions on Intelligent Transportation Systems, 13(4), 2012, pp. 1498-1506.
- Mammeri, A., Khiari, E. H., Boukerche, A.,”Road-sign text recognition architecture for intelligent transportation systems” in 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), 2014, pp. 1-5.
- Hechri, A., Mtibaa, A.,”Automatic detection and recognition of road sign for driver assistance system” in 2012 16th IEEE Mediterranean Electrotechnical Conference, 2012, pp. 888-891.
- Li, H., Sun, F., Liu, L., Wang, L.,”A novel traffic sign detection method via color segmentation and robust shape matching” Neurocomputing, 169, 2015, pp 77-88.
- Zakir, U., Leonce, A. N. J., Edirisinghe, E. A.,”Road sign segmentation based on color spaces: A Comparative Study” in Proceedings of the 11th Iasted International Conference on Computer Graphics and Imaging, Innsbruck, Austria, 2010.
- Brkic, K.,”An overview of traffic sign detection methods” Department of Electronics, Microelectronics, Computer and Intelligent Systems Faculty of Electrical Engineering and Computing Unska, 3, 2010.
- Miura, J., Kanda, T., Nakatani, S., Shirai, Y.,” An active vision system for online traffic sign recognition” IEICE TRANSACTIONS on Information and Systems, 85(11), 2010, 1784-1792.
- Siogkas, G. K., Dermatas, E. S.,”Detection, tracking and classification of road signs in adverse conditions” in MELECON 2006-2006 IEEE Mediterranean Electrotechnical Conference, 2006, pp. 537-540.
- Overett, G., Petersson, L.,”Large-scale sign detection using HOG feature variants” in Intelligent Vehicles Symposium (IV), 2011 IEEE, pp. 326-331.
- Mogelmose, A., Trivedi, M. M., Moeslund, T. B.,”Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey” IEEE Transactions on Intelligent Transportation Systems, 13(4), 2012, pp 1484-1497.
- Hoferlin, B., Zimmermann, K.,”Towards reliable traffic sign recognition. In Intelligent Vehicles Symposium”, 2009 IEEE, pp. 324-329.
- Prisacariu, V. A., Timofte, R., Zimmermann, K., Reid, I., Van Gool,” Integrating object detection with 3d tracking towards a better driver assistance system” in Pattern Recognition (ICPR), 2010 20th International Conference on, pp. 3344-3347.
- Landesa-Vázquez, I., Parada-Loira, F., Alba-Castro, J. L. “ Fast real-time multiclass traffic sign detection based on novel shape and texture descriptors” in Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on, pp. 1388-1395.
- Liu, C., Chang, F., Chen, Z.,” Rapid multiclass traffic sign detection in high-resolution images” IEEE Transactions on Intelligent Transportation Systems, 15(6), 2014, pp 2394-2403.
- Fang, C. Y., Chen, S. W., Fuh, C. S.,”Road-sign detection and tracking” IEEE transactions on vehicular technology, 52(5), 2003, pp. 1329-1341.
- Lorsakul, A., Suthakorn, J. ” Traffic sign recognition using the neural network on opencv: Toward intelligent vehicle/driver assistance system” in 4th International Conference on Ubiquitous Robots and Ambient Intelligence, 2007, pp. 22-24.
- Salhi, A., MINAOUI, B., FAKIR, M.,” Robust Automatic Traffic Signs Recognition Using Fast Polygonal Approximation of Digital Curves and Neural Network”, International Journal of Advanced Computer Science and Applications, 2014.
- Singh, A. K., Shukla, V. P., Tiwari, S., Biradar, S. R. “Wavelet-Based Histogram of Oriented Gradients Feature Descriptors for Classification of Partially Occluded Objects” International Journal of Intelligent Systems and Applications, 7(3), 2015, 54.
- Zaklouta, F., Stanciulescu, B. “Real-time traffic sign recognition in three stages.” Robotics and autonomous systems, 62(1), 2014, pp. 16-24.
- Varun, S., Singh, S., Kunte, R. S., Samuel, R. S., Philip, B. “A road traffic signal recognition system based on template matching employing tree classifier” in Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on, Vol. 3, pp. 360-365.
- Dalal, N., Triggs, B. ”Histograms of oriented gradients for human detection” in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), Vol. 1, pp. 886-893
- Wali, S. B., Hannan, M. A., Abdullah, S., Hussain, A., Samad, S. A” Shape matching and color segmentation based traffic sign detection system” Threshold, 90, 2015, p 255.
- Bascón, S. M., Rodríguez, J. A., Arroyo, S. L., Caballero, A. F., López-Ferreras, F.” An optimization on pictogram identification for the road-sign recognition task using SVMs” Computer Vision and Image Understanding, vol. 114(3), 2010, 373-383.
Abstract Views: 353
PDF Views: 121