Objective Live-Training Infantry Performance Metrics for Automated After Action Review

Award Information
Agency: Department of Defense
Branch: Navy
Contract: M67854-09-C-6545
Agency Tracking Number: N082-111-0258
Amount: $69,490.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: N08-111
Solicitation Number: 2008.2
Small Business Information
1835 Energy Park Drive, Saint Paul, MN, 55108
DUNS: 113351782
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Randy Milbert
 (651) 659-6762
Business Contact
 Randy Milbert
Title: President
Phone: (651) 659-6762
Email: Randy.Milbert@primordial.com
Research Institution
To conduct effective after-action reviews (AARs) for United States Marine Corps (USMC) live training exercises, instructors need to automate the analysis of captured data and minimize their level of effort. In partnership with ScenPro and Cubic Defense Applications, Primordial proposes Overlord, software that automatically tags relevant events buried in mountains of raw data captured during training, allowing USMC instructors to efficiently evaluate trainees against their expert counterparts. Overlord is based on the ViSSA (Virtual Soldier Skills Assessment) software which ScenPro developed under a phase II Small Business Research and Development (SBIR) contract in 2005. ViSSA automatically detects significant events in a Distributed Interactive Simulation (DIS)/High-Level Architecture (HLA)-based virtual environment. Overlord will interface with live instrumented training ranges such as Cubic’s Advanced Systems Architecture for Urban Live Training (ASAULT). Cubic is a world leader in instrumented live training. Composed entirely of commercial off-the-shelf (COTS) hardware, ASAULT provides a state of the art position tracking system that reports trainee positions seamlessly between indoor and outdoor environments. ASAULT ranges use industry-standard data formats such as DIS, HLA, and the Test and Training Enabling Architecture (TENA). Overlord will be capable of analyzing object data captured in all of these formats.

* Information listed above is at the time of submission. *

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