Platform routing and data fusion technologies for Cooperative ISR

Period of Performance: 08/21/2007 - 05/21/2008


Phase 1 STTR

Recipient Firm

International Association of Virtual ORG
415a East Chapel Hill Street
Durham, NC 27701
Principal Investigator
Firm POC

Research Institution

4455 Genesee Street
Buffalo, NY 14225
Institution POC


The US Air Force seeks innovative techniques and algorithms to investigate optimal platform routing that optimizes collection for fusion metric benefits, while also satisfying collection and de-confliction requirements. The primary focus in this regard is on the combination of both cooperative-system wide-body and multi-UAV (i.e., categorically inclusive UAVs) devices that provide positive and complementary benefits to improved ISR. Routing and data fusion requirements related to effective uses of these cooperative platforms demand progressive algorithmic techniques and methods embedded in theoretically innovative approaches. Indeed, such thinking serves as the basis for our solution described herein. In understanding the program needs, our proposal focuses on a particular class of cooperative ISR missions that can benefit from improved technologies from both platform routing and data fusion as well as automated dynamic resource allocation techniques and automated support to within-platform multi-operator workflow. Accordingly, we will address the class of cooperative ISR missions involving cooperative multi-platform and cooperative air-to-ground tactical SIGINT, EW, and Information Operations-type collection, fusion, and exploitation activities.