16
Random Set Theory for Multisource-Multitarget Information Fusion
Ronald Mahler
CONTENTS
16.1.1 Bayesian Iceberg: Models, Optimality, Computability
16.1.1.1 Bayesian Iceberg: Sensor Models
16.1.1.2 Bayesian Iceberg: Motion Models
16.1.1.3 Bayesian Iceberg: State Estimation
16.1.1.4 Bayesian Iceberg: Formal Optimality
16.1.1.5 Bayesian Iceberg: Computability
16.1.1.6 Bayesian Iceberg: Robustness
16.1.2 Why Multisource, Multitarget, Multievidence Problems Are Tricky
16.2 Review of Bayes Filtering and Estimation
16.2.1 Bayes Recursive Filtering
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