Actionable Intelligence for the Warfighter

Abstract

Lockheed Martin Advanced Technology Laboratories (LM ATL) has researched and developed Situation Understanding technologies to provide tailored, Actionable Intelligence to the individual warfighter. Situation Understanding (SU) is a core requirement of the Future Combat Systems and programs such as the Distributed Common Ground Station Army. LM ATL has developed an SU Engine to automatically fuse multiple intelligence reports with track data into a Common Relevant Operating Picture (CROP) of the battlespace. The SU Engine augments the CROP with hypotheses as to the relationships that may exist between entities, environment, and events within the battlespace. These relationships are then used as the basis for inferring the most likely and most dangerous courses of actions that the enemy may be pursuing. The Future Force is actively trading weight for intelligence, while at the same time supporting a broader range of missions, with fewer operators and greater volumes of information. The SU Engine maintains the context of the various warfighters that the system is supporting. A warfighter's context includes location of the warfighter, the warfighter's mission, and the state of the battlespace surrounding the warfighter. The SU Engine, based on any explicit information requests provided by the warfighter combined with needs inferred by the SU Engine, dynamically composes multi-level fusion services to convert raw sensor and report data into higher level relationships and ultimately into predictions of enemy courses of action. The SU Engine can access sensor and report data from a range of sources including service-enabled net-centric systems. Services within the SU Engine are described using industry open standards augmented with semantic definitions to support just-in-time service composition.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA460434

Entities

People

  • Angela Pawlowski
  • Nicholas Morizio
  • Sergio Gigli

Organizations

  • Lockheed Martin

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Battlespace
  • Birds
  • Buildings And Structures
  • Computer Network Security
  • Data Fusion
  • Demographic Cohorts
  • Environment
  • Ground Stations
  • Language
  • Ontologies
  • Reasoning
  • Situational Awareness
  • Standards
  • Web Service

Readers

  • Aerospace Engineering.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy