title: Complete vision-based traffic sign recognition supported by an I2V communication system.
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.
authors.affiliation: Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain.
authors.forename: Miguel A
authors.initials: MA
authors.lastname: García-Garrido
authors.affiliation: Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain.
authors.forename: Manuel
authors.identifier: 0000-0002-8875-1866
authors.initials: M
authors.lastname: Ocaña
authors.affiliation: Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain.
authors.forename: David F
authors.initials: DF
authors.lastname: Llorca
authors.affiliation: Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain.
authors.forename: Estefanía
authors.initials: E
authors.lastname: Arroyo
authors.affiliation: Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain.
authors.forename: Jorge
authors.initials: J
authors.lastname: Pozuelo
authors.affiliation: Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain.
authors.forename: Miguel
authors.initials: M
authors.lastname: Gavilán
mesh_terms: D001185:Artificial Intelligence; D001334:Automobile Driving; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation*; D008123:Location Directories and Signs; D010363:Pattern Recognition, Automated / Q000379:methods*; D014195:Travel; D014584:User-Computer Interface; D059015:Wireless Technology / Q000295:instrumentation*