• DocumentCode
    2030578
  • Title

    On design of sequential sensor fusion system

  • Author

    Emura, S. ; Tachi, S.

  • Author_Institution
    NTT Human Interface Labs., Tokyo, Japan
  • Volume
    4
  • fYear
    1998
  • fDate
    16-20 May 1998
  • Firstpage
    3400
  • Abstract
    Most algorithms currently proposed for sensor integration implicitly assume that the signals from all sensors are synchronized, but this does not hold in real situations. The paper proposes to handle time-variant sensor combination systems by a sequence, and formulates a method to verify that the designed sequence is stable, together with a method to predict theoretically the performance of the designed sequence based on the mutual information rate. This enables a sequence of sensor combinations to be designed rationally
  • Keywords
    Kalman filters; covariance matrices; filtering theory; sensor fusion; sequences; mutual information rate; sequential sensor fusion system; time-variant sensor combination systems; Equations; Frequency synchronization; Image sensors; Multisensor systems; Robot sensing systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal processing; Sonar detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
  • Conference_Location
    Leuven
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-4300-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1998.680963
  • Filename
    680963