Paper
12 May 2016 ARL PED efforts at enterprise challenge 2016
Susan Toth, William Hughes, Tien Pham, Jeffrey Houser
Author Affiliations +
Abstract
In 2011, the U.S. Army Research Laboratory (ARL) developed a framework for sensor integration and asset discovery. Because this framework continues to be relevant and necessary, ARL will again participate in Enterprise Challenge 2016 to conduct further experimentation and demonstrations. Incorporating an Expeditionary Processing, Exploitation and Dissemination (Ex-PED) model, ARL will demonstrate the utility of tactical wide-area and persistent sensing in a bandwidth constrained environment, with the inclusion of an effective Sensor 3D Common Operating Picture (COP) to enable appropriate sensor management.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Susan Toth, William Hughes, Tien Pham, and Jeffrey Houser "ARL PED efforts at enterprise challenge 2016", Proc. SPIE 9831, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII, 983107 (12 May 2016); https://doi.org/10.1117/12.2229481
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KEYWORDS
Sensors

Unattended ground sensors

Intelligence systems

Data storage

Standards development

Video

Visualization

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