TRAFFIC CONDITION MONITORING BY KALMAN FILTERING OF THE INCOMPLETE LASER RADAR SIGNALS

This paper describes how to estimate the accurate and detail traffic condition around our vehicle on road by the incomplete laser radar signals. It covers the range of 100 m ahead and only three angles ranging from -3.4 to 3.4 degree. The conventional laser radar system monitors only one vehicle that runs just in front of our vehicle. Careful observation of the laser radar signals includes more information than that required for monitoring only one front vehicle. This research aims at developing a new traffic condition monitoring system that estimates the relative coordinate and velocity of vehicles that run around our vehicle by fully using the signals from the radar. The Kalman filtering technique with the assist by the AI technique that compensates the lacking information from the radar is employed. The system estimates coordinates and velocity of up to 8 to 10 vehicles of vicinity.

  • Supplemental Notes:
    • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
  • Corporate Authors:

    VERTIS

    TORANOMOM 34 MORI BUILDING 1-25-5
    TORANOMON, MINATOKU, TOKYO 105  Japan 
  • Authors:
    • Kawashima, S
    • Watanabe, K
    • Kobayashi, K
  • Conference:
  • Publication Date: 1995-11

Language

  • English

Media Info

  • Pagination: p. 1019

Subject/Index Terms

Filing Info

  • Accession Number: 00722031
  • Record Type: Publication
  • Report/Paper Numbers: Volume 3
  • Files: TRIS
  • Created Date: Jun 23 1996 12:00AM