Robust Traffic Sign Detection by means of Vision and V2I Communications
Authors
García Garrido, Miguel Ángel; Ocaña Miguel, Manuel; Fernández Llorca, David; Sotelo Vázquez, Miguel Ángel; Arroyo Carreras, Estefanía; [et al.]Identifiers
Permanent link (URI): http://hdl.handle.net/10017/60233DOI: 10.1109/ITSC.2011.6082844
ISBN: 978-1-4577-2196-0
Publisher
IEEE
Date
2011-10-05Affiliation
Universidad de Alcalá. Departamento de Automática; Universidad de Alcalá. Departamento de ElectrónicaBibliographic citation
M. A. García-Garrido, M. Ocaña, D. F. Llorca, M. A. Sotelo, E. Arroyo and A. Llamazares, "Robust traffic signs detection by means of vision and V2I communications," 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington, DC, USA, 2011, pp. 1003-1008
Description / Notes
14th International IEEE Annual Conference on Intelligent Transportation Systems - ITSC, , 05/10/2011-07/10/2011, Washington DC, Estados Unidos
Document type
info:eu-repo/semantics/conferenceObject
Publisher's version
https://doi.org/10.1109/ITSC.2011.6082844Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2011 IEEE
Access rights
info:eu-repo/semantics/openAccess
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.
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