This article is
- freely available
Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System
Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain
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
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 StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
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.
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.
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.