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Road Sign Recognition: A Study of Vision-based Decision Making for Road Environment Recognition

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Vision-based Vehicle Guidance

Part of the book series: Springer Series in Perception Engineering ((SSPERCEPTION))

Abstract

This study is based on an application of vertical road sign recognition by vision. Three types of danger warning signs are recognized. Octagonal stop signs and triangular danger warning signs are distinguished from round forbidding signs on the basis of their outside shape. This recognition is made in “quasi-real-time” in a running vehicle. In addition to the vision algorithm strategy developed, three decision-making softwares are compared: structured programming, expert system approach, and a neural network.

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References

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Authors
  1. Marie de Saint Blancard
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Editor information

Editors and Affiliations

  1. General Motors Research Laboratories, Computer Science Department, 48090-9055, Warren, MI, USA

    Ichiro Masaki

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© 1992 Springer-Verlag New York, Inc.

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de Saint Blancard, M. (1992). Road Sign Recognition: A Study of Vision-based Decision Making for Road Environment Recognition. In: Masaki, I. (eds) Vision-based Vehicle Guidance. Springer Series in Perception Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2778-6_7

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  • DOI: https://doi.org/10.1007/978-1-4612-2778-6_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7665-4

  • Online ISBN: 978-1-4612-2778-6

  • eBook Packages: Springer Book Archive

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