Sensor control for multi-object state-space estimation using random finite sets
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Publication:620590
DOI10.1016/J.AUTOMATICA.2010.06.045zbMath1218.93095OpenAlexW2059305573MaRDI QIDQ620590
Publication date: 19 January 2011
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2010.06.045
Bayesian estimationparticle filterinformation measuresensor managementrandom finite setssequential Monte Carlo estimation
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10)
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Distributed multiagent control approach for multitarget tracking ⋮ Sensor management for multi-target tracking via multi-Bernoulli filtering
Cites Work
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- Rollout algorithms for stochastic scheduling problems
- Stochastic processes and filtering theory
- Sequential Monte Carlo Methods in Practice
- A User's Guide to Measure Theoretic Probability
- MULTITARGET SENSOR MANAGEMENT OF DISPERSED MOBILE SENSORS
- Sequential Monte Carlo Methods for Dynamic Systems
- A Consistent Metric for Performance Evaluation of Multi-Object Filters
- The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations
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