Sensor Fusion Using Dempster-Shafer Theory II : Static Weighting and Kalman Filter-like Dynamic Weighting

@inproceedings{Wu2002SensorFU,
  title={Sensor Fusion Using Dempster-Shafer Theory II : Static Weighting and Kalman Filter-like Dynamic Weighting},
  author={Huadong Wu and Mel W. Siegel and Sevim Ablay},
  year={2002}
}
1 Huadong Wu is the recipient of a Motorola Partnerships in Research Grant Abstract Context sensing for context-aware HCI challenges traditional sensor fusion methods with its requirements for (1) adaptability to a constantly changing sensor suite and (2) sensing quality commensurate with human perception. We build this paper on two IMTC2002 papers, where the Dempster-Shafer “theory of evidence” was shown to be a practical approach to implementing the sensor fusion system architecture. The… CONTINUE READING
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Sensor and Data Fusion Concepts and Applications

  • Lawrence A. Klein
  • (second edition), SPIE Optical Engineering Press,
  • 1999

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