Project PI’ s: Dr. Kenrick Mock and Mr. Tom Heinrichs
Lead Institutions: University of Alaska Anchorage and University of Alaska Fairbanks.
Supporting Team: AIFC Network
o Axiom Data Sciences: Mr. Rob Bochenek, in association with Alaska Ocean Observation System (AOOS)
o Alaska Marine Exchange: Mr. Ed Page
o NOVA Corporation: Mr. Brian Conroy
o University of New Mexico: Dr. Rebecca Koskela
o University of Texas El Paso: Dr. Craig Tweedie
Arctic Information Fusion Capability (AIFC) seeks to support operational decision makers in the maritime domain ranging from operational commanders to tactical operators to community-based observers. AIFC strives to gain two dimensional geographic orientation of precision mapping data, near-real-time and high resolution satellite imagery incorporated with available modeling, sensors, web based communications and appropriate social networking feeds to gain domain awareness in support of operational decision making and interface with humans and responders in the field.
Further, AIFC will provide elements of domain awareness from a 3 dimensional “column view” to gain insights vertically from seabed to surface and surface skyward. AIFC seeks to achieve a near- real-time and forecast decision support that can transition to intelligent decision support in a follow-on phase. AIFC near-real-time products will be delivered as rapidly as possible following capture and processing of the observation. In general, near-real-time is a qualitative descriptor. In the AIFC context it refers to products delivered between a few seconds up to 30 minutes following capture.
In Phase 1, AIFC will leverage and fuse existing sources, capabilities, and models to provide operational decision support. This includes visualization and mapping of sensor output, marine systems modeling, communications, appropriate social networking feeds, and other information required for Arctic maritime situational awareness. This also includes a deployable/field capability to support USCG emergency on-scene coordinators and community-based observations.
In Phase 2, AIFC will transition to provide intelligent decision support and prototype the automatic control of sensors and robotic systems.