An Acoustic Sensing for Recognizing Vehicles at the Cross-Roads to Avoid Collisions

Research for preventing vehicles colliding at cross-roads, including a scheme for detecting the sound from tires of a vehicle to recognize an approaching vehicle is described. So far, the approaching vehicles have been detected with a pair of microphones onboard the vehicle. The detection time may be affected, however, by the sound of the ambient noises and the sound from the measuring vehicle. A new detection scheme is proposed in which the effect of the sound from the engine and cooling fans as well as other ambient noises is to be reduced by means of the spectral subtraction technique with multiple pairs of microphones. In this paper, an experimental system developed based on the proposed scheme is described and the effectiveness of the proposed scheme which were verified through field trials, is also shown. For the covering abstract see ITRD E140665.

• Authors:
  • MIYOSHI, F
  • ASAHI, K
  • OGAWA, A
• Publication Date: 2007

Language

• English

Media Info

• Serial:
  • PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007
  • Publisher: ITS America

Subject/Index Terms

• TRT Terms: Audible warning devices; Communications; Conferences; Crash avoidance systems; Data collection; Detection and identification; Information processing; Intelligent transportation systems; Sensors
• Subject Areas: Operations and Traffic Management; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01163375
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Jul 22 2010 10:58AM