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Target Tracking and Data Fusion in Sensor Networks
TopicLeading institutions, researchers & key papers
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.
29
Works
IDs:OpenAlex
How has Target Tracking and Data Fusion in Sensor Networks's publication output changed over time?
ScholarIQpublication output · 1992–2024
Output grew0% over the shown period — from 1 works in 1992 to 1 in 2024.
1
1
1
1
1
1
1
1992199720002009201320202024
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
S193624734. 1997418 Citations
Ground target tracking with variable structure IMM estimator
T. Kirubarajan, Yaakov Bar‐Shalom, Krishna R. Pattipati, Ivan Kadar
S193624734. 2000318 Citations
A new relaxation algorithm and passive sensor data association
Krishna R. Pattipati, S. Deb, Yaakov Bar‐Shalom, Robert B. Washburn
S184954342. 1992279 Citations
Constrained Bayesian state estimation – A comparative study and a new particle filter based approach
Xinguang Shao, Biao Huang, Jong Min Lee
S96000363. 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 JOURNALS
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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