High-efficient search and analysis of road signs

Authors

  • Дмитрий Александрович Морозов Odessa national polytechnic university 1 Shevchenko ave., Odessa, Ukraine, 65000, Ukraine

DOI:

https://doi.org/10.15587/2313-8416.2015.56338

Keywords:

low-level image processing, pattern identification, algorithm for computer vision, road sign recognition

Abstract

It is developed high-efficient algorithm for search and analysis of road signs. The work is based on the results of reviewing existing sources which describe given problem. There are described the most common steps in algorithm logic. There is designed, implemented and tested special program, which works on given algorithm. The results of testing show good recognition quality. Such program can be used as a part of driver assistance systems

Author Biography

Дмитрий Александрович Морозов, Odessa national polytechnic university 1 Shevchenko ave., Odessa, Ukraine, 65000

Automation of Heat Processes

Institute of Energy and Computer-integrated Control System

References

Fang C.-Y., Chen S.-W., Fuh C.-S. (2003). Road-sign detection and tracking. IEEE Transactions on Vehicular Technology, 52 (5), 1329–1341. doi: 10.1109/tvt.2003.810999

De la Escalera, A., Armingol, J. M., Mata, M. (2003). Traffic sign recognition and analysis for intelligent vehicles. Image and Vision Computing, 21 (3), 247–258. doi: 10.1016/s0262-8856(02)00156-7

Vitabile, S., Gentile, A., Sorbello, F. (2002). A neural network based automatic road signs recognizer. USA. doi: 10.1109/ijcnn.2002.1007503

Miura, J., Kanda, T., Shirai, Y. (2000). An active vision system for real-time traffic sign recognition. USA. doi: 10.1109/itsc.2000.881017

Vitabile, S., Gentile, A., Dammone, G. B., Sorbello, F. (2002). Multi-layer perceptron mapping on a SIMD architecture. IEEE. doi: 10.1109/nnsp.2002.1030078

Zhuravlev, Ju. (1989). Raspoznavanie. Klassifikacija. Prognoz. Matematicheskie metody i ih primenenie. Issue 2. Moscow: Nauka, 70–72.

Published

2015-12-20

Issue

Section

Technical Sciences