Platform routing and data fusion technologies for Cooperative ISR

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-07-C-0067
Agency Tracking Number: F074-021-0077
Amount: $99,865.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solitcitation Year: 2007
Solitcitation Topic Code: AF07-T021
Solitcitation Number: N/A
Small Business Information
3 PHOENIX, INC.
13135 Lee Jackson Hwy, Suite 330, Fairfax, VA, 22033
Duns: 140785929
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 John Jamieson
 Principal
 (919) 562-5333
 john.jamieson@3phoenix.com
Business Contact
 Andy Liverman
Title: Principal
Phone: (703) 956-6480
Email: andy.liverman@3phoenix.com
Research Institution
 THE PENNSYLVANIA STATE UNIV.
 Jeff Weinschenk
 Applied Research Laboratory
P.O. Box 30
State College, PA, 16804
 (814) 863-0862
 Nonprofit college or university
Abstract
In order for collaborative Intelligence, Surveillance, and Reconnaissance (ISR) to become a viable mission for an ever-expanding heterogonous UAV fleet, UAV autonomy must achieve autonomy level four (i.e. on-board route re-planning) and beyond (i.e. increasingly complex group coordination), so that operators are not overwhelmed with routine operational decisions. For UAV platform routing, current point-to-point routing techniques are not sufficient. New techniques must be developed that allow UAVs to autonomously generate and update routes during flight dynamically. The control strategy must therefore automate or self-manage as much of the low- and mid-level planning as possible to reduce the operator workload and provide coordination at the mission level to ensure that mission objectives are accomplished. To address this challenge, 3 Phoenix, Inc. and the Applied Research Laboratory / Pennsylvania State University have teamed to develop dynamic routing and multi-objective scheduling algorithms for implementation within a standards-based real-time data fusion and intelligent control C4ISR architecture. This two-tier approach will simultaneously reduce operator workload and increase fleet efficiency by enabling UAVs to autonomously plan their routes in accordance with the current tactical picture.

* information listed above is at the time of submission.

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