PICTOGRAM ROAD SIGNS DETECTION AND UNDERSTANDING IN OUTDOOR SCENES

This paper describes an expert system for the recognition of road signs. The method detects road signs by their color and shape. Road sign recognition is performed by multilayer perceptron (MLP) neural network classifiers. The method would also supply warning mechanisms for driver assistance.

• Supplemental Notes:
  • Publication Date: 1998 Published By: SPIE, Bellingham WA
• Corporate Authors:

  Ruhr-Universitat Bochum. Institut fur Neuroinformatik

  ,    

  Vrije Universiteit

  Faculteit der Economische
  Amsterdam,   Netherlands 

  University of Michigan, Ann Arbor

  Artificial Intelligence Laboratory
  Ann Arbor, MI  United States  48109

  Universitat Bern

  ,    

  Texas Transportation Institute

  Texas A&M University System, 3135 TAMU
  College Station, TX  United States  77843-3135

  Universita degli studi di Ancona. Istituto di informatica

  ,    

  Samsung Advanced Institute of Technology

  ,    

  Universita di Palermo. Dipartimento di ingegneria elettronica

  ,    
• Authors:
  • Vitabile, S
  • Sorbello, F
• Conference:
  • Enhanced and synthetic vision : proceedings of SPIE. Vol. 3364
• Publication Date: 1998

Language

• English

Media Info

• Pagination: p. 359-370

Subject/Index Terms

• TRT Terms: Driver support systems; Expert systems; Pattern recognition systems; Traffic signs
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00777567
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM