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DCOSS
2011
Springer
12 years 4 months ago
A distributed information fusion method for localization based on Pareto optimization
—To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appea...
Alessio De Angelis, Carlo Fischione
IJPRAI
2006
114views more  IJPRAI 2006»
13 years 4 months ago
Selective Voting - Getting More for Less in Sensor Fusion
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...
Lior Rokach, Oded Maimon, Reuven Arbel
JCM
2006
118views more  JCM 2006»
13 years 4 months ago
Joint Optimization of Local and Fusion Rules in a Decentralized Sensor Network
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
Nithya Gnanapandithan, Balasubramaniam Natarajan
BSN
2009
IEEE
136views Sensor Networks» more  BSN 2009»
13 years 11 months ago
Comparison of Orientation Filter Algorithms for Realtime Wireless Inertial Posture Tracking
—Advances in the miniaturisation of inertial sensors have allowed the design of compact wireless inertial orientation trackers. Such devices require data fusion algorithms to pro...
A. D. Young
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