Target Tracking and Data Fusion in Sensor Networks
Target Tracking and Data Fusion in Sensor Networks is a topic indexed in ScholarIQ from OpenAlex.
What is known about 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.
How many works does Target Tracking and Data Fusion in Sensor Networks have?
Target Tracking and Data Fusion in Sensor Networks has 59,235 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Target Tracking and Data Fusion in Sensor Networks have?
Target Tracking and Data Fusion in Sensor Networks has 829,133 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Target Tracking and Data Fusion in Sensor Networks?
The OpenAlex for Target Tracking and Data Fusion in Sensor Networks is on the source record.