Multi-Fidelity Analysis for Human-in-the-Loop Search and Tracking

Abstract

The aim of this project is to achieve multi-fidelity analysis for the multi-objective control of a team of unmanned aerial vehicles (UAVs) with humans in the loop of the estimation and control framework. The successful participation of humans in the loop for dynamically changing environments depends heavily on the reliability of data measured and information constructed by the UAVs. The multi-fidelity analysis proposed in the project enables real-time adjustment for computationally heavy search and tracking operations and further extracts quantities from the adjustment in the form of reliability.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA483020

Entities

People

  • Tomonari Furukawa

Organizations

  • University of New South Wales

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Autonomous Systems
  • Bayes Filters
  • Central Processing Units
  • Computations
  • Computer Programming
  • Computers
  • Floating Point Operations
  • Graphics Processing Unit
  • Kalman Filters
  • Mathematical Filters
  • Probability Density Functions
  • Reliability
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs