AUTOMATED CAR PARKING USING NEURAL NETWORKS IN CONSIDERATION OF HUMAN'S PROPERTIES FOR CAR DRIVING

This paper presents a neural network system for automated car parking which takes into account human characteristics. Judgment and operation sequences are substituted by neural networks. The first neural network is used for judgment in determining the direction and the position, while the second neural network is used for operation. Simulation results confirm the system which can allow cars to be parked in narrow parking places requiring quick turns of the wheel.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/2446438
• Supplemental Notes:
  • Publication Date: April 2000
• Corporate Authors:

  Doshisha Daigaku

  ,    
• Authors:
  • Kanetsuki, A
  • Hara, K
  • Yokogawa, R
• Publication Date: 2000

Language

• Japanese

Media Info

• Pagination: p. 69-75
• Serial:
  • Doshisha Daigaku rikogaku kenkyu hokoku = Science and engineering review of Doshisha University. Vol. 41, no. 1
  • Publisher: Doshisha Daigaku

Subject/Index Terms

• TRT Terms: Advanced vehicle control systems; Neural networks; Parking
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00801242
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 7 2000 12:00AM