Sensors 2012, 12(2), 1148-1169; doi:10.3390/s120201148
Article

Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System

1 Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain 2 Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain
* Author to whom correspondence should be addressed.
Received: 2 December 2011; in revised form: 12 January 2012 / Accepted: 20 January 2012 / Published: 30 January 2012
(This article belongs to the Section Physical Sensors)
PDF Full-text Download PDF Full-Text [5037 KB, uploaded 30 January 2012 08:32 CET]
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.
Keywords: traffic sign recognition; advanced driver assistance systems; I2V; computer vision

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

García-Garrido, M.A.; Ocaña, M.; Llorca, D.F.; Arroyo, E.; Pozuelo, J.; Gavilán, M. Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System. Sensors 2012, 12, 1148-1169.

AMA Style

García-Garrido MA, Ocaña M, Llorca DF, Arroyo E, Pozuelo J, Gavilán M. Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System. Sensors. 2012; 12(2):1148-1169.

Chicago/Turabian Style

García-Garrido, Miguel A.; Ocaña, Manuel; Llorca, David F.; Arroyo, Estefanía; Pozuelo, Jorge; Gavilán, Miguel. 2012. "Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System." Sensors 12, no. 2: 1148-1169.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert