Artificial Intelligence and Sensor Fusion

Abstract

Future US Air Force sensor systems must be able to adapt to changing environments in real time. A capabilities-based modeling approach is a new method being promoted for the building of the next generation weapon systems. To accommodate this modeling approach the Department of Defense (DoD) is promoting the use of waveform diversity for radar systems. Building a weapon system including one or more radar systems with waveform diversity will require the use of artificial intelligence (AI) tools and techniques. This paper investigates leveraging the AI tools being developed by the Semantic Web, DARPA's DAML program and, specifically the building of ontologies and resource description framework (RDF) for sensor systems so that they can efficiently communicate and share their data.

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Document Details

Document Type
Technical Report
Publication Date
Oct 04, 2003
Accession Number
ADP021440

Entities

People

  • Gerald B. Berdan
  • Gerard T. Capraro
  • Michael C. Wicks
  • Raymond A. Liuzzi

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Artificial Intelligence
  • Climate Change
  • Commerce
  • Computing Devices
  • Data Processing
  • Department Of Defense
  • Engineering
  • Frequency
  • Internet
  • Multiagent Systems
  • Radar
  • Sensor Fusion
  • Signal Processing
  • Weapon Systems

Fields of Study

  • Engineering

Readers

  • Defense Acquisition Program Management
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.

Technology Areas

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