High Accurate Direction Finding of Target Objects in Intersection using Cumulative Likelihood of DOA Estimation for Anti-Collision Warning System

The purpose of this study is to establish a system detecting pedestrians or bicycles located in a blind spot without using an infrastructure such as a roadside unit. The authors assume that a vehicle has an array antenna as a receiver and a pedestrian or bicycle has a transmitter, and they estimate Direction of Arrival (DOA) of radio wave using Unitary-ESPRIT method. In this paper, the authors suggest the “right” or “left” decision system for the first grade of the prevention of collision. This system decides the direction of the target definitely. There are three characteristics of this suggestion. First, the authors use the MENSE method which estimates the number of signals prior to DOA estimation. The MENSE method enables a highly precise DOA estimation. Second, they also use a method which uses likelihood accumulated by the past information. Third they define the gray zone from the dispersion of the DOA estimation and treat only reliable data. Simulation results show the effectiveness of this method.

• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036

  ERTICO

  326 Avenue Louis
  Brussels,   Belgium  B-1050
• Authors:
  • Kaneko, Mana
  • Hattori, Takeshi
• Conference:
  • 17th ITS World Congress
  • Location: Busan , Korea, South
  • Date: 2010-10-25 to 2010-10-29
• Publication Date: 2010

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 11p
• Monograph Title: 17th ITS World Congress, Busan, 2010: Proceedings

Subject/Index Terms

• TRT Terms: Bicycles; Crash avoidance systems; Detection and identification systems; Pedestrians; Radio transmitters; Warning systems
• Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists; I85: Safety Devices used in Transport Infrastructure;

Filing Info

• Accession Number: 01363979
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 29 2012 7:21AM