Information Fusion for High Level Situation Assessment and Prediction

Abstract

This is the final report for our AFOSR sponsored project: Information Fusion for High Level Situation Assessment and Prediction. Through this project, we developed a probabilistic framework for performing high level information fusion. In addition, we developed algorithms for performing active information fusion to improve both fusion accuracy and efficiency so that decision making and situation assessment can be made in a timely and efficient manner. Finally, we applied the framework and the algorithms to a military application to demonstrate its feasibility and validity for high level information fusion. In this report, we first summarize our technical accomplishments, followed by a discussion of transitions related to this project. The related paper reprints are attached with this report. In addition, the latest paper reprints, publications, and software demos from this project may also be found at http://wvw.ecse.rpi.edu/~cvrl/lwh/.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA465378

Entities

People

  • Qiang Ji

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Bayesian Networks
  • Computational Science
  • Data Fusion
  • Efficiency
  • Machine Learning
  • Military Applications
  • Probability
  • Probability Distributions
  • Random Variables
  • Reconnaissance
  • Situational Awareness
  • Training
  • Unmanned Aerial Vehicles

Readers

  • Computer Vision.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Technical Research and Report Writing.