Paper
18 May 2006 Autonomous Mine Detection Sensors (AMDS)
Frank Navish III, Michael May
Author Affiliations +
Abstract
The Autonomous Mine Detection Sensors (AMDS) program is developing a prototype autonomous mine-detection sensor suite designed to be mounted on a small robotic platform that can find buried anti-personnel mines. Over the past two years, CyTerra Corp. and NIITEK, Inc. have developed complementary senor suites using a variety of ground penetrating radar (GPR) and electromagnetic induction (EMI) sensor configurations. The AMDS program is also working with industry and academia to develop automatic target recognition (ATR) algorithms. This paper provides a brief overview of evaluations that have been performed at Army facilities. Probability of Detection (Pd) and Probability of False Alarm (Pfa) results are provided for signal-to-noise type detection algorithms and also for promising pattern classification and neural network algorithms that were developed by Duke University, the University of Missouri-Columbia, and the University of Florida. After an evaluation in October 2005, both contractors' sensors performed comparably (about 90% Pd and 40% Pfa) against low-metal anti-personnel mines at an Army test site seeded with typical clutter. In some cases, university-developed pattern classification and neural network algorithms have reduced the Pfa by a factor of two against these clutter sets.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank Navish III and Michael May "Autonomous Mine Detection Sensors (AMDS)", Proc. SPIE 6217, Detection and Remediation Technologies for Mines and Minelike Targets XI, 62172I (18 May 2006); https://doi.org/10.1117/12.668482
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Mining

General packet radio service

Palladium

Electromagnetic coupling

Land mines

Detection and tracking algorithms

Back to Top