Paper
7 January 1999 Vehicle weight estimates using a buried three-axis seismometer
Julienne E. LeMond, Richard A. Gramann
Author Affiliations +
Proceedings Volume 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement; (1999) https://doi.org/10.1117/12.336955
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States
Abstract
Broadband data from a 3-axis buried seismometer was used to develop classification algorithms to estimate relative vehicle weight and distinguish between tracked and wheeled vehicles. The automated algorithms were incorporated into a standalone detection and classification system that is written in C and hosted on a Pentium PC clone. Classifications are based on characteristics identified in low-frequency seismic spectra for a variety of ground vehicles and environments. Results from the initial spectral analysis are summarized, and details of the algorithms and their performance are presented. Absolute vehicle weight estimates, which are the focus of current efforts, may be possible given measured source levels and propagation information.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julienne E. LeMond and Richard A. Gramann "Vehicle weight estimates using a buried three-axis seismometer", Proc. SPIE 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement, (7 January 1999); https://doi.org/10.1117/12.336955
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Cited by 2 scholarly publications.
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KEYWORDS
Signal to noise ratio

Algorithm development

Error analysis

Classification systems

Detection and tracking algorithms

Digital signal processing

Unattended ground sensors

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