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Applying Advanced Human Engineering Methods to Mission Planning for Multi-Manned or Unmanned Air Vehicles

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0016
Agency Tracking Number: N141-019-1041a
Amount: $749,906.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N141-019
Solicitation Number: 2014.1
Solicitation Year: 2014
Award Year: 2018
Award Start Date (Proposal Award Date): 2017-11-07
Award End Date (Contract End Date): 2019-07-23
Small Business Information
1790 Sun Peak Drive
Park City, UT 84098
United States
DUNS: 181539974
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 William Henson
 (775) 338-7055
Business Contact
 Brian Penny
Phone: (719) 266-1854
Research Institution

The proposed Phase II.5 ViPER USMC large mission planning mission planning expansion effort seeks to add capabilities to ViPER-CVW that will provide an initial large force air planning capability to USMC aviation planners. Development will focus on providing route and airspace deconfliction tools which link airspace, flight routing, and planned aircraft movements, as well as automated checks to ensure route and airspaces do not overlap. Additionally, MTI will provide USMC planners the ability to dynamically share planning constraints and mission requirements with the broader MAGTF team. ViPER CVW has added a collaborative planning capability that allows multiple dispersed ViPER users to share a common planning picture amongst dispersed users, which will be extended into the USMC planning arena. Products applicable to the broader MAGTF team will also be provided with platform specific planning data and force-level planning information that integrate with KILSWITCH electronic kneeboard card tablet and other tools. While not providing a total solution for sharing planning data and application services throughout the USMC battlespace, ViPER does provide a compelling environment in which to capture multi-aircraft and multi-mission planning decisions which can then be evaluated for feasibility, effectiveness, and other constraints by advanced decision aids.

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

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