Title :
On design of sequential sensor fusion system
Author :
Emura, S. ; Tachi, S.
Author_Institution :
NTT Human Interface Labs., Tokyo, Japan
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;
Conference_Titel :
Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
Conference_Location :
Leuven
Print_ISBN :
0-7803-4300-X
DOI :
10.1109/ROBOT.1998.680963