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
