Paper
3 June 2011 Enhanced chemical weapon warning via sensor fusion
Michael Flaherty, Daniel Pritchett, Brian Cothren, James Schwaiger
Author Affiliations +
Abstract
Torch Technologies Inc., is actively involved in chemical sensor networking and data fusion via multi-year efforts with Dugway Proving Ground (DPG) and the Defense Threat Reduction Agency (DTRA). The objective of these efforts is to develop innovative concepts and advanced algorithms that enhance our national Chemical Warfare (CW) test and warning capabilities via the fusion of traditional and non-traditional CW sensor data. Under Phase I, II, and III Small Business Innovative Research (SBIR) contracts with DPG, Torch developed the Advanced Chemical Release Evaluation System (ACRES) software to support non real-time CW sensor data fusion. Under Phase I and II SBIRs with DTRA in conjunction with the Edgewood Chemical Biological Center (ECBC), Torch is using the DPG ACRES CW sensor data fuser as a framework from which to develop the Cloud state Estimation in a Networked Sensor Environment (CENSE) data fusion system. Torch is currently developing CENSE to implement and test innovative real-time sensor network based data fusion concepts using CW and non-CW ancillary sensor data to improve CW warning and detection in tactical scenarios.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Flaherty, Daniel Pritchett, Brian Cothren, and James Schwaiger "Enhanced chemical weapon warning via sensor fusion", Proc. SPIE 8018, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XII, 80180Z (3 June 2011); https://doi.org/10.1117/12.884696
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Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Clouds

Data fusion

Data modeling

Sensor networks

Chemical analysis

Sensor fusion

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