... x = x t is time-varying. approximation theory covariance matrices sensor fusion estimation fusion formula multisensor Cholesky factorization low complexity Recently a multisensory data fusion has been a big issue to increase the accuracy of parameter estimates...

... 2010 computerised instrumentation fuzzy neural nets inference mechanisms sensor fusion target tracking measurement to track association fuzzy c-means data association (FCMDA) algorithm adaptive neurofuzzy inference system (ANFIS) Target tracking is an integral part...

...Hyeongcheol Lee Reliability indexed sensor fusion (RISF) is a new estimation techique which uses process and measurement noise covariances as the reliability index in an adaptive Kalman filter framework. In RISF, noise covariances are assumed to be highly uncertain and determined by engineering...

... estimation errors between any two sensors to be uncorrelated does not accord with the general case. So it can only obtain the suboptimal fusion estimation. sensor fusion stochastic systems linear systems Kalman filters discrete time filters time-varying filters 12 08 2003 21 02...

.... 01 July 2003 24 November 2003 05 08 2004 array signal processing sensor fusion frequency response feedback compensation control system synthesis Precise control of processes has become increasingly important to ensure high performance and reliability. Sensory...

.... The presented work belongs to signal processing. signal processing sensor fusion 06 July 2002 01 March 2003 18 09 2003 Contributed by the Dynamic Systems, Measurement, and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL...

... , and simulation of robotic systems 10 11 Inverse Dynamics Joint Moments Optimal Control Human Motion Analysis biomechanics dynamics noise image motion analysis sensor fusion inverse problems biomedical measurement 01 June 2000 01 February 2001 Contributed...

... the location of the maximum value of the validation curves. Sensor fusion is then performed using a weighted average of sensor readings and confidence values, and—if available—the functionally redundant values calculated from other sensors. Contributed by the Dynamic Systems and Control Division...