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

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,490.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
M67854-09-C-6545
Award Id:
92290
Agency Tracking Number:
N082-111-0258
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1835 Energy Park Drive, Saint Paul, MN, 55108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
113351782
Principal Investigator:
RandyMilbert
President
(651) 659-6762
Randy.Milbert@primordial.com
Business Contact:
RandyMilbert
President
(651) 659-6762
Randy.Milbert@primordial.com
Research Institute:
n/a
Abstract
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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