Results 221 to 230 of about 102,343 (261)

Sensor data fusion

Journal of Intelligent & Robotic Systems, 1988
This paper reviews some knowledge representation approaches devoted to the sensor fusion problem, as encountered whenever images, signals, text must be combined to provide the input to a controller or to an inference procedure. The basic steps involved in the derivation of the knowledge representation scheme, are: (A) locate a representation ...
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Data Fusion in Sensor Networks

2006 IEEE International Conference on Video and Signal Based Surveillance, 2005
There is a growing excitement about the potential application of large scale sensor networks in diverse applications such as precision agriculture, geophysical and environment monitoring, remote health care, and security. Rapid progress in sensing hardware, communications and low-power computing has resulted in a profusion of commercially available ...
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Sensor integration and data fusion

Journal of Robotic Systems, 1990
AbstractThe problem of sensor integration and data fusion is addressed. We consider the problem of combining information from diversified sources in a coherent fashion. We assume that information from various sensors may be available in different forms at the fusion.
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A sensor fusion approach for PbD

Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 2002
Since programming by demonstration (PbD) approaches have reached prime importance in interactive robot programming, sensor technology for tracking user actions and user behavior have become more and more important. However, traditional methods based on single sensor system input are already at their limits, since PbD is an application area where real ...
Oliver Rogalla, Markus Ehrenmann, Rüdiger Dillmann   +2 more
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A methodology for the fusion of redundant sensors

Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000
In this paper we consider the fusion of quasi-redundant sensors to calculate the best estimate of a measurand and provide a measure of confidence in the estimated value. The developed methodology integrates a concept of self-confidence of individual sensors and quasi-redundant sensors.
Mohamed Abdelrahman, Parameshwaran Kandasamy, Jeff Frolik   +2 more
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Sensor Fusion

2023
Shuxiang Fan, Changying Li
  +7 more sources

Sensor Fusion

The Photogrammetric Record, 2020
Harald I. Muri, Markus Wahl, Jacob J. Lamb, Rolf K. Snilsberg, Dag R. Hjelme   +4 more
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Sensor fusion and correlation

Proceedings of the 3rd international conference on Embedded networked sensor systems, 2005
Todd S. Sproull, Richard Hough, John W. Lockwood, Christopher K. Zuver, Kent English, John Meier   +5 more
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Tomography defined as sensor fusion

2015 IEEE SENSORS, 2015
Tomography is introduced as a sensing task, ratherthan a healthcare imaging application, best known for itsembodiment in hospital scanners. Tomography sensing, imagingand data processing are summarized with emphasis on systemphenomenology and design in relation with the inversion ofmeasurement data. The main classification paradigms of sensorfusion are
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Sensor fusion potential exploitation-innovative architectures and illustrative applications

Proceedings of the IEEE, 1997
B V Dasarathy
exaly