INTERPRETATION OF TRAFFIC SIGNS FROM DIGITAL VIDEO IMAGES

This paper describes how optical character recognition can be applied to the interpretation of traffic signs from digital video images. Probabilistic neural networks and fuzzy logic are used for developing isolation recognition. The potential for applying this system for assisting drivers and for guidance and control of autonomous vehicles on highways is discussed.

• Supplemental Notes:
  • Publication Date: 1998 Verlag Mainz, Aachen, Germany
• Corporate Authors:

  Heusch/Boesefeldt G.m.b.H.

  Aachen,   Germany 

  Rheinische-Westfalische Technische Hochschule Aachen

  ,    
• Authors:
  • Oiu, Ziran
  • Benning, W
• Conference:
  • European Congress on Intelligent Techniques and Soft Computing (6th). Proceedings, EUFIT '98
  • Location: Aachen , Germany
  • Date: 1998-0-0
• Publication Date: 1998

Language

• English

Media Info

• Pagination: p. 1751-1754
• Serial:
  • Volume: 3

Subject/Index Terms

• TRT Terms: Fuzzy logic; Fuzzy systems; Neural networks; Optical detectors
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00798095
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Sep 8 2000 12:00AM