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3D Interfaces for Improved Interpretation of Hard-To-Discriminate Ballistic Objects

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-06-C-7372
Agency Tracking Number: 05-0190T
Amount: $400,000.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA05-T008
Solicitation Number: N/A
Timeline
Solicitation Year: 2005
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-11-01
Award End Date (Contract End Date): 2008-11-01
Small Business Information
1600 International Drive
McLean, VA 22102
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Jerzy Bala
 Chief Scientist
 (703) 917-0880
 jbala@dsri.com
Business Contact
 B. Gogia
Title: CEO & President
Phone: (703) 917-0880
Email: bkgogia@dsri.com
Research Institution
 VIRGINIA TECH
 Chang-Tien Lu
 
7054 Haycock Road,
Falls Church, VA 22043
United States

 (703) 538-8373
 Nonprofit College or University
Abstract

In our knowledge-based society collaboration environments are a key Knowledge Management trend. In implementing this trend, the critical step is to capture the collaboration that surrounds visual information used in decision-making. The Phase II project will develop distributed data visualization techniques to support collaborative decision-making. Specifically, it will implement a library of client-user intelligent visualization components that link together displays of information exploitation results (e.g., threats and their predicated behaviors) with a type of “look-ahead” interactive visualization of impacted assets, available sensors and weapons. In its first instantiation, the system will contribute to the development of discrimination and weapon engagement mockup of Battle Management Crew Station system. The technological novelty is in the distributed aspect of visualization and in the incorporation of a mechanism for the synergistic organization of distributed visual components to support dynamic and linked depictions (e.g., “next-step” and “what-if”) in order to rapidly guide the crew to the optimal and shortest threat engagement course of action.

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

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