Vehicle Fingerprinting Using Drive-By Sounds

Abstract

We estimate a vehicle's speed, width, and length by jointly estimating its acoustic wave-pattern using a single passive acoustic sensor that records the vehicle's drive-by noise. The acoustic wave-pattern is estimated using three envelope shape (ES) components, which approximate the shape of the received signal's power envelope. We incorporate the parameters of the ES components along with estimates of the vehicle engine RPM and number of cylinders to form a vehicle profile vector. This vector provides a compressed statistics that can be used for vehicle identification and classification. Vehicle speed estimation and classification results are provided using field data.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481471

Entities

People

  • A. C. Gurbuz
  • F. Shah
  • J. H. Mcclellan
  • R. Chellappa
  • V. Cevher

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Signals
  • Boundary Layer
  • Classification
  • Computational Science
  • Data Science
  • Detectors
  • Directional
  • Doppler Effect
  • Engine Noise
  • Engines
  • Exhaust Systems
  • Frequency
  • Geometry
  • Information Science
  • Noise
  • Sensor Networks

Readers

  • Internal Combustion Engine (ICE) Technology.
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.