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Task Modeling and Decision Making

  • Gregory D. Hager
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 99)

Abstract

Once we have a properly expressed model that accurately reflects the sensor characteristics, and we have decided what other sensors are observing the same object or structure, the process of sensor fusion is largely reduced to the selection and application of one of a number of well-known methods for parameter estimation to the given problem. Anyone doing sensor fusion should understand what techniques are available, and use the technique that is appropriate for the problem. In Appendix B we briefly describe various methods for parameter estimation, and urge the reader not familiar with the properties of, and relationships between, these techniques to read that section and the given references.

Keywords

Decision Rule Decision Theory Task Modeling Sensor Fusion Uncertainty Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1990

Authors and Affiliations

  • Gregory D. Hager
    • 1
  1. 1.University of PennsylvaniaUSA

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