THE USE OF A RADIAL BASIS FUNCTION NETWORK FOR VISUAL AUTONOMOUS ROAD FOLLOWING

In this paper, an alternative connectionist architecture, called a Radial Basis Function (RBF) network, is considered for visual road- following. A controller based on each network architecture is built and the performances of the two network controllers are evaluated using a driving simulator. The RBF network was able to overcome many of the problems encountered by ALVINN (Autonomous Land Vehicle In a Neural Network).

• Supplemental Notes:
  • Publication Date: 1993 Published By: IEEE Service Center, Piscataway, NJ
• Corporate Authors:

  VOLVO (FIRM) VOLVO, AB VOLVE, BUS DIVISION

  S.L.:
  ,    
• Authors:
  • Rosenblum, Mark
  • Davis, Larry S
• Conference:
  • Intelligent Vehicles Symposium (1993 : Tokyo, Japan). Proceedings of the Intelligent Vehicles '93 Symposium
• Publication Date: 1993

Language

• English

Media Info

• Pagination: p. 432-438

Subject/Index Terms

• TRT Terms: Computer vision; Neural networks
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00785635
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM