Results 171 to 180 of about 1,174,484 (222)
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Sensor fusion and data fusion – Mapping and reconstruction
Measurement, 2007Data mining is a term frequently used in sociological, economical and military fields. But since many of these data stem from the technological field of sensors and sensor nets, it is worth investigating if the ideas, tasks, and tools of data mining can be integrated in a common framework of metrology.
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International Journal of Remote Sensing
Numerous remote sensing (RS) systems currently collect data about Earth and its environments. However, each system provides limited data in terms of spatial resolution, spectral information, and other parameters.
F. Samadzadegan +2 more
semanticscholar +1 more source
Numerous remote sensing (RS) systems currently collect data about Earth and its environments. However, each system provides limited data in terms of spatial resolution, spectral information, and other parameters.
F. Samadzadegan +2 more
semanticscholar +1 more source
Sensor data fusion in a simulated sensor environment
2005 IEEE Aerospace Conference, 2005This paper addresses the development of automatic target recognition (ATR) algorithms that have the potential to fuse information from multiple sensors to improve acquisition, tracking, and discrimination of threat objects in a simulated sensor environment.
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Measurement, 2019
The full vector spectrum is an effective and efficient tool for homologous multi-sensor data fusion in rotating machinery. However, this methodology just takes Fourier Transform to obtain the harmonic trajectory information hidden in multi-sensor data ...
He Yu, Hong-ru Li, Yaolong Li, Yifan Li
semanticscholar +1 more source
The full vector spectrum is an effective and efficient tool for homologous multi-sensor data fusion in rotating machinery. However, this methodology just takes Fourier Transform to obtain the harmonic trajectory information hidden in multi-sensor data ...
He Yu, Hong-ru Li, Yaolong Li, Yifan Li
semanticscholar +1 more source
Data fusion by optimal sensor switching
Proceeding of 1st Australian Data Fusion Symposium, 2002In this paper we consider the problem of selecting the optimal measurement sequence from two or more sensors given communication bandwidth limitations. In particular the constraints are such that only one sensor may be used at any one time. Our aim is to switch these sensors to obtain optimal (mean square error sense) estimates of the state of a linear
E. Skafidas, R.J. Evans, A. Logothetis
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Environmental monitoring using sensor data fusion
2012 International Conference on Radar, Communication and Computing (ICRCC), 2012This paper deals with the implementation of data fusion technique viz. Kalman Filter in the estimation of a precise value for a set of data taken from sensors measuring various environmental aspects such as temperature, humidity and atmospheric pressure. Current research work going in this field is also discussed in brief, as well as their limitations.
S. S. Das +5 more
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Sensors data fusion via Bayesian filter
Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010, 2010Presented paper deals with the data fusion of measured environment attributes obtained from different kinds of sensors used by autonomous mobile robot. The method is based on algorithm called Bayesian filter. Implementation details and simulation experiment that fuses three different sensors measurement to determine robot orientation are given in the ...
Vechet Stanislav +2 more
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