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Physical Sciences → Computer Science → Artificial Intelligence

Target Tracking and Data Fusion in Sensor Networks

This cluster of papers focuses on particle filtering and nonlinear estimation methods, including Kalman filters, Monte Carlo methods, sensor fusion, sequential Monte Carlo, Gaussian filters, and Bayesian inference. The papers cover a wide range of applications such as state estimation, multitarget tracking, and sensor network management.

58.8K works worldwide825.3K citations
Particle FiltersNonlinear EstimationKalman FiltersMonte Carlo MethodsState EstimationSensor FusionSequential Monte CarloGaussian FiltersMultitarget TrackingBayesian Inference

Journals publishing in this area

1IEEE Transactions on Automatic Control cover
IEEE Transactions on Automatic Control
ISSN 0018-92861,538 articles in this topic
474h-index
2IEEE Transactions on Signal Processing cover
IEEE Transactions on Signal Processing
ISSN 1053-587X1,477 articles in this topic
366h-index
3Automatica cover
Automatica
ISSN 0005-1098785 articles in this topic
397h-index
4
IEEE Sensors Journal
ISSN 1530-437X742 articles in this topic
197h-index
5IEEE Transactions on Information Theory cover
IEEE Transactions on Information Theory
ISSN 0018-9448521 articles in this topic
443h-index