Sensors | |
Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System | |
Miguel A. Garc-Garrido2  Manuel Oca༚2  David F. Llorca1  Estefan Arroyo2  Jorge Pozuelo2  | |
[1] Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain; E-Mails:;Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain; E-Mails: | |
关键词: traffic sign recognition; advanced driver assistance systems; I2V; computer vision; | |
DOI : 10.3390/s120201148 | |
来源: mdpi | |
【 摘 要 】
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.
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
Files | Size | Format | View |
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RO202003190046057ZK.pdf | 5036KB | download |