Dynamic Sensor Coverage

Abstract

CONCLUSIONS: * What's new? A framework for the Dynamic Coverage problem. * Insightful: Results are intuitive and provide deeper insight. * Experiments: Infrastructure exists. * Scalability: the approach can be easily extended to multiple sensors and systems. FUTURE WORK: * Stability region in the coupled environment case. * Synthesis of the transition probability matrix for the Markov case. * Multiple sensor case. * Convergence to static coverage results as the number of sensors increases. * Experiments.

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Document Details

Document Type
Technical Report
Publication Date
Jun 23, 2005
Accession Number
ADA447996

Entities

People

  • Abhishek Tiwari
  • David Jeffcoat
  • Myungsoo Jun
  • Richard M. Murray

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Environment
  • Information Operations
  • Infrastructure
  • Kalman Filtering
  • Kalman Filters
  • Markov Chains
  • Measurement
  • Military Operations
  • Military Research
  • Operations Research
  • Probability
  • Probability Distributions
  • United States Military Academy
  • Websites

Readers

  • Computational Fluid Dynamics (CFD)
  • Mathematical Modeling and Probability Theory.
  • Sensor Fusion and Tracking Systems.