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Target Tracking and Data Fusion in Sensor Networks

TopicLeading institutions, researchers & key papers

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?

ScholarIQrecord summary

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?

ScholarIQindexed works

Target Tracking and Data Fusion in Sensor Networks has 29 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Target Tracking and Data Fusion in Sensor Networks?

ScholarIQopenalex

The OpenAlex for Target Tracking and Data Fusion in Sensor Networks is on the source record.

What are the most-cited papers on Target Tracking and Data Fusion in Sensor Networks?

ScholarIQmost cited works
A generalized S-D assignment algorithm for multisensor-multitarget state estimation
Somnath Deb, Murali Yeddanapudi, Krishna R. Pattipati, Yaakov Bar‐Shalom
IEEE Transactions on Aerospace and Electronic Systems. 1997418 Citations
Ground target tracking with variable structure IMM estimator
T. Kirubarajan, Yaakov Bar‐Shalom, Krishna R. Pattipati, Ivan Kadar
IEEE Transactions on Aerospace and Electronic Systems. 2000318 Citations
A new relaxation algorithm and passive sensor data association
Krishna R. Pattipati, S. Deb, Yaakov Bar‐Shalom, Robert B. Washburn
IEEE Transactions on Automatic Control. 1992279 Citations
Constrained Bayesian state estimation – A comparative study and a new particle filter based approach
Xinguang Shao, Biao Huang, Jong Min Lee
Journal of Process Control. 2009129 Citations
A New Fusion Estimation Method for Multi-Rate Multi-Sensor Systems With Missing Measurements
Mojtaba Kordestani, Maryam Dehghani, Behzad Moshiri, Mehrdad Saif
IEEE Access. 202067 CitationsOPEN ACCESS

Where is Target Tracking and Data Fusion in Sensor Networks research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Target Tracking and Data Fusion in Sensor Networks is open access?

ScholarIQopen access share
14%OPEN ACCESS
Gold
14%
Green
0%
Hybrid
0%
Bronze
0%
Closed
86%

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