Share Email Print
cover

Proceedings Paper

Distributed algorithms for small vehicle detection, classification, and velocity estimation using unattended ground sensors
Author(s): Adele B. Doser; Mark L. Yee; William T. O'Rourke; Megan E. Slinkard; David C. Craft; Hung D. Nguyen
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This study developed a distributed vehicle target detection and estimation capability using two algorithmic approaches designed to take advantage of the capabilities of networked sensor systems. The primary interest was on small, quiet vehicles, such as personally owned SUVs and light trucks. The first algorithm approach utilized arrayed sensor beamforming techniques. In addition, it demonstrated a capability to find locations of unknown roads by extending code developed by the Army Acoustic Center for Excellence at Picatinny Arsenal. The second approach utilized single (non-array) sensors and employed generalized correlation techniques. Modifications to both techniques were suggested that, if implemented, could yield robust methods for target classification and tracking using two different types of networked sensor systems.

Paper Details

Date Published: 27 May 2005
PDF: 12 pages
Proc. SPIE 5796, Unattended Ground Sensor Technologies and Applications VII, (27 May 2005); doi: 10.1117/12.607012
Show Author Affiliations
Adele B. Doser, Sandia National Labs. (United States)
Mark L. Yee, Sandia National Labs. (United States)
William T. O'Rourke, Sandia National Labs. (United States)
Megan E. Slinkard, Sandia National Labs. (United States)
David C. Craft, Sandia National Labs. (United States)
Hung D. Nguyen, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 5796:
Unattended Ground Sensor Technologies and Applications VII
Edward M. Carapezza, Editor(s)

© SPIE. Terms of Use
Back to Top