SCAAT: incremental tracking with incomplete information

@inproceedings{Welch1997SCAATIT,
  title={SCAAT: incremental tracking with incomplete information},
  author={G. Welch and Gary Bishop},
  booktitle={SIGGRAPH '97},
  year={1997}
}
  • G. Welch, Gary Bishop
  • Published in SIGGRAPH '97 1997
  • Computer Science
  • The Kalman filter provides a powerful mathematical framework within which a minimum mean-square-error estimate of a user's position and orientation can be tracked using a sequence of single sensor observations, as opposed to groups of observations. We refer to this new approach as single-constraint-at-a-time or SCAAT tracking. The method improves accuracy by properly assimilating sequential observations, filtering sensor measurements, and by concurrently autocalibrating mechanical or electrical… CONTINUE READING

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    References

    Publications referenced by this paper.
    SCAAT: Incremental Tracking with Incomplete Information,
    • 1996