We take a systemic view of the data and information fusion process, inclusive of information collection sources and sensors, core process enabling algorithms, and, importantly, the role of humans in the overall system concept and design.
Our focus is on multiple-source information processing environments, such as in multiple-sensor or multiple-instrumented systems. Such environments occur frequently in defense applications for advanced surveillance and reconnaissance systems but also in robotics, civil infrastructure systems, medical monitoring systems, intrusion detection systems, intelligent transportation systems, and in environmental monitoring applications, among others.
Improving space domain awareness (SDA) in the geostationary (GEO) and cislunar (XGEO) regions through the development of new theoretical approaches leading to useful algorithms and investigating new sensor concepts with meaningful data and information fusion.
Sponsor: AFRL Space University Research Initiative
Algorithms are being developed that fuse various pieces of information to provide a navigation solution for unmanned aircraft systems in a GPS-denied environment.
Sponsor: Northrop Grumman Corporation and the Office of Naval Research
The objective is to enhance space situational awareness by providing higher fidelity and actionable intelligence as well as indications and warnings relating to space-based threats.
Sponsor: Air Force Research Laboratory