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Center for Nonlinear Studies |
Multisensor multitarget tracking algorithms have been/are among the most studied topics of the Data Fusion community and the central focus of many conferences and journal papers. The many algorithmic formulations have been developed to address a multiplicity of technical issues that affect such algorithmic designs. However, for many such developments and certainly for many applications there have been very limited considerations of the systemic aspects within which these algorithmic systems lie, to include limited considerations of formalized test and evaluation methods by which such algorithms should be evaluated. Further, many such algorithmic developments have not been framed in a distributed or networked context, within which most real-world applications lie today. This presentation offers a review of important systemic issues for designing such “total” distributed systems, to include stochastic aspects of test and evaluation. For this LANL visit, a top-level overview of the characteristics of Data Fusion processes is also included.
Host: Kari Sentz