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

  • Marie de Saint Blancard
Part of the Springer Series in Perception Engineering book series (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.

Keywords

Stop Sign Closed Contour Road Sign Vision Algorithm Manufacture Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1992

Authors and Affiliations

  • Marie de Saint Blancard

There are no affiliations available

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