Evaluation of the Effectiveness of Machine-based Situation Assessment - Preliminary Work

Abstract

The Information Fusion Panel within The Technical Cooperation Program (TTCP) is developing algorithms to perform machine-based situation assessment to assist human operators in complex situations. This report proposes a technique to measure the effectiveness of these algorithms in a simulation environment where ground truth is well-defined. In addition, this report models the situation assessment algorithms abstractly using random inference networks, and examines how errors (damage) spread through the inference networks. This models deficiencies in the object assessment as input to the situation assessment algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2008
Accession Number
ADA496490

Entities

People

  • Dale A. Lambert
  • David M. Lingard

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Australia
  • Biological Sciences
  • Data Fusion
  • Employment
  • Environment
  • Formal Languages
  • Internet
  • Iterations
  • Language
  • Literature
  • Networks
  • Ontologies
  • Perturbations
  • Scientific Literature
  • Simulations
  • Surveillance

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference