Distributed algorithms for small vehicle detection, classification, and velocity estimation using unattended ground sensors

Adele B. Doser; Mark L. Yee; William T. O'Rourke; Megan E. Slinkard; David C. Craft; Hung D. Nguyen

doi:10.1117/12.607012

27 May 2005 Distributed algorithms for small vehicle detection, classification, and velocity estimation using unattended ground sensors

Adele B. Doser, Mark L. Yee, William T. O'Rourke, Megan E. Slinkard, David C. Craft, Hung D. Nguyen

Author Affiliations +

Proceedings Volume 5796, Unattended Ground Sensor Technologies and Applications VII; (2005) https://doi.org/10.1117/12.607012
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Adele B. Doser, Mark L. Yee, William T. O'Rourke, Megan E. Slinkard, David C. Craft, and Hung D. Nguyen "Distributed algorithms for small vehicle detection, classification, and velocity estimation using unattended ground sensors", Proc. SPIE 5796, Unattended Ground Sensor Technologies and Applications VII, (27 May 2005); https://doi.org/10.1117/12.607012

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available