Abstract
The first part of this paper provides an overview of previous work on traffic sign recognition. Various components are discussed, such as detection, classification and temporal integration. The second part of this paper covers a recently developed shape-based system, based on distance transforms. This system has been quite successful in detecting and recognizing traffic signs in real-time; we report single-image recognition rates of above 90% in preliminary experiments both offline as on-board our demo vehicle.
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Gavrila, D.M. (1999). Traffic Sign Recognition Revisited. In: Förstner, W., Buhmann, J.M., Faber, A., Faber, P. (eds) Mustererkennung 1999. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60243-6_10
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DOI: https://doi.org/10.1007/978-3-642-60243-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66381-2
Online ISBN: 978-3-642-60243-6
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