Complete vision-based traffic sign recognition supported by an I2V communication system

Sensors (Basel). 2012;12(2):1148-69. doi: 10.3390/s120201148. Epub 2012 Jan 30.

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: I2V; advanced driver assistance systems; computer vision; traffic sign recognition.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artificial Intelligence*
  • Automobile Driving*
  • Equipment Design
  • Equipment Failure Analysis
  • Image Interpretation, Computer-Assisted / instrumentation*
  • Location Directories and Signs*
  • Pattern Recognition, Automated / methods*
  • Travel*
  • User-Computer Interface
  • Wireless Technology / instrumentation*