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» EEG-fMRI fusion of non-triggered data using Kalman filtering
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INFFUS
2006
153views more  INFFUS 2006»
13 years 4 months ago
GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects
Francois Caron, Emmanuel Duflos, Denis Pomorski, P...
ISBI
2006
IEEE
14 years 5 months ago
EEG-fMRI fusion of non-triggered data using Kalman filtering
Thomas Deneux, Olivier D. Faugeras
JUCS
2006
107views more  JUCS 2006»
13 years 4 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
ICRA
2005
IEEE
152views Robotics» more  ICRA 2005»
13 years 10 months ago
Dynamic Vehicle Localization using Constraints Propagation Techniques on Intervals A comparison with Kalman Filtering
-In order to implement a continuous and robust dynamic localization of a mobile robot, the fusion of dead reckoning and absolute sensors is often used. Depending on the objectives ...
Amadou Gning, Philippe Bonnifait
JCIT
2010
185views more  JCIT 2010»
12 years 11 months ago
GPS/TDOA Hybrid Location Algorithm Based on Federal Kalman Filter
Generally, accuracy of GPS(Global Positioning System) is higher than that of cellular network. But in tall building urban area or indoor, relatively weak GPS signal makes the posi...
Cui-Xia Li, Wei-Ming Liu, Zi-Nan Fu