Citation

García-Garrido MA, Ocaña M, Llorca DF, Arroyo E, Pozuelo J, Gavilán M. Sensors (Basel) 2012; 12(2): 1148-1169.

Affiliation

Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain; E-Mails: mocana@depeca.uah.es (M.O.); estefania.arroyo@depeca.uah.es (E.A.); jorge.pozuelo@depeca.uah.es (J.P.).

Copyright

(Copyright © 2012, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s120201148

PMID

22438704

PMCID

PMC3304106

Abstract

This paper presents a complete traffic sign recognition system based on vision sensor onboard a moving vehicle which detects and recognizes up to one hundred of the most important road signs, including circular and triangular signs. A restricted Hough transform is used as detection method from the information extracted in contour images, while the proposed recognition system is based on Support Vector Machines (SVM). A novel solution to the problem of discarding detected signs that do not pertain to the host road is proposed. For that purpose infrastructure-to-vehicle (I2V) communication and a stereo vision sensor are used. Furthermore, the outputs provided by the vision sensor and the data supplied by the CAN Bus and a GPS sensor are combined to obtain the global position of the detected traffic signs, which is used to identify a traffic sign in the I2V communication. This paper presents plenty of tests in real driving conditions, both day and night, in which an average detection rate over 95% and an average recognition rate around 93% were obtained with an average runtime of 35 ms that allows real-time performance.

Language: en