Many traffic lights are still not equipped with acoustic signals. It is possible to recognize the traffic light color from a mobile device, but this requires a technique that is stable under different illumination conditions. This contribution presents TL-recognizer, an application that recognizes traffic lights from a mobile device camera. The proposed solution includes a robust setup for image capture as well as an image processing technique. Experimental results give evidence that the proposed solution is practical.
Supporting pedestrians with visual impairment during road crossing: a mobile application for traffic lights detection / S. Mascetti, D. Ahmetovic, A. Gerino, C. Bernareggi, M. Busso, A. Rizzi (LECTURE NOTES IN COMPUTER SCIENCE). - In: Computers helping people with special needs / [a cura di] K. Miesenberger, C. Bühler, P. Penaz. - [s.l] : Springer Verlag, 2016. - ISBN 9783319412665. - pp. 198-201 (( Intervento presentato al 15. convegno ICCHP tenutosi a Linz nel 2016 [10.1007/978-3-319-41267-2_27].
Supporting pedestrians with visual impairment during road crossing: a mobile application for traffic lights detection
S. MascettiPrimo
;D. AhmetovicSecondo
;A. Gerino;C. Bernareggi;A. RizziUltimo
2016
Abstract
Many traffic lights are still not equipped with acoustic signals. It is possible to recognize the traffic light color from a mobile device, but this requires a technique that is stable under different illumination conditions. This contribution presents TL-recognizer, an application that recognizes traffic lights from a mobile device camera. The proposed solution includes a robust setup for image capture as well as an image processing technique. Experimental results give evidence that the proposed solution is practical.File | Dimensione | Formato | |
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traffic lights.pdf
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cameraReady_uploaded.pdf
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