Human Infrastructure Detection and Exploitation (HIDE)
Abstract
Finding human infrastructure elements such as machinery, chemicals, radiofrequency emissions, electrical currents, or other evidence of human activity in confined enclosed spaces is a deficiency in current intelligence, surveillance, and reconnaissance (ISR) systems. In addition, operations in these places present a threat to Soldiers and detection of these manmade infrastructure elements is a needed capability. In this effort, the authors investigate and demonstrate multimodal, low-cost sensing on a mobile platform for detecting the presence of manmade "infrastructure" (i.e., machinery, electric currents, chemicals, hazardous materials, computers, and humans themselves) in hidden and confined spaces such as tunnels, sewers, caves, bunkers, and buildings, and in urban environments. The Human Infrastructure Detection and Exploitation (HIDE) Army Technology Objective (ATO) will use a variety of low-cost sensors, including acoustic, seismic, magnetic, electrostatic (E-field), passive infrared (PIR), chemical, radiofrequency, and optical. The HIDE ATO will develop the algorithms and sensor fusion capabilities, but will not develop the sensors themselves. The algorithms will be structured to be adaptable to varying combinations of sensor modalities, environmental conditions, and varying missions. The algorithms and sensors will be integrated on a small mobile unmanned ground vehicle (UGV). The ATO will not develop the platform or robotic controls, but it will leverage the ongoing Command & Control for Complex & Urban Terrain (C2CUT) ATO and other UGV efforts, and will integrate sensors onto an existing system. The ability to use many sensors and process the data at the sensor node will provide new ISR and Force Protection capabilities for the U.S. Army.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2009
- Accession Number
- ADA512538
Entities
People
- Alan Edelstein
- Alex Chan
- Barry O'brian
- Gary Chatters
- Greg Fischer
- Greg Samples
- Jeff Houser
- Jonathan Fine
- Matthew Thielka
- Michael Patterson
- Patti Gillespie
- Raju Damarla
- Richard Gregory
- Steve Vinci
Organizations
- United States Army Research Laboratory