Traffic sign segmentation and classification using statistical learning methods

Traffic signs are an essential part of any circulation system, and failure detection by the driver may significantly increase the accident risk. Currently, automatic traffic sign detection systems still have some performance limitations, specially for achromatic signs and variable lighting condition...

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Veröffentlicht in:	Neurocomputing (Amsterdam) 2015-04, Vol.153, p.286-299
Hauptverfasser:	Lillo-Castellano, J.M., Mora-Jiménez, I., Figuera-Pozuelo, C., Rojo-Álvarez, J.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Chromatic and achromatic segmentations Classification Driver support system Fourier Descriptors Lighting Machine learning Machine learning techniques Risk Segmentation Traffic sign detection Traffic signs
Online-Zugang:	Volltext
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