Robust traffic signs detection by means of vision and V2I communications

Author

García-Garrido, M.A. ; Oca, M. ; Llorca, D.F. ; Sotelo, M.A. ; Arroyo, E. ; Llamazares, A.

Author_Institution

Dept. of Electron., Univ. of Alcala, Madrid, Spain

fYear

2011

fDate

5-7 Oct. 2011

Firstpage

1003

Lastpage

1008

Abstract

This paper presents a complete traffic sign recognition system, including the steps of detection, recognition and tracking. The 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), and is able to recognize up to one hundred of the main road signs. Besides a novel solution to the problem of discarding detected signs that do not pertain to the host road is proposed, for that purpose vehicle-to-infrastructure (V2I) communication and stereo information is used. This paper presents plenty of tests in real driving conditions, both day and night, in which a high success rate and low number of false negatives and true positives were obtained, and an average runtime of 35 ms, allowing real-time performance.

Keywords

Hough transforms; driver information systems; image recognition; stereo image processing; support vector machines; tracking; Hough transform; SVM; V2I communication; contour image; extracted information; robust traffic signs recognition system; stereo information; support vector machines; traffic signs detection; traffic signs tracking; vehicle-to-infrastructure communication; Global Positioning System; Image edge detection; Mathematical model; Roads; Support vector machines; Transforms; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on

Conference_Location

Washington, DC

ISSN

2153-0009

Print_ISBN

978-1-4577-2198-4

Type

conf

DOI

10.1109/ITSC.2011.6082844

Filename

6082844