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- W2078343382 abstract "In applications in which even the best EKFs and MHTs may perform poorly, the single-target and multi-target Bayes nonlinear filters become potentially important. In recent years, new implementation techniques such as sequential Monte Carlo (a.k.a. particle-system) have emerged that, when hosted on ever more inexpensive, smaller, and powerful computers, make these filters potentially computationally tractable for real-time applications. A methodology for preliminary test and evaluation (PT&E) of the relative strengths and weaknesses of these algorithms is becoming increasingly necessary. The purpose of PT&E is to (1) assess the broad strengths and weaknesses of various algorithms or algorithm types; (2) justify further algorithm development; and (3) provide guidance as to which algorithms are potentially useful for which applications. At last year's conference we described our plans for the development of a PT&E tool, MENTAT. In this paper we report on current progress. Our implementation is MATLAB-based, and harnesses the GUI-building capabilities of the well-known MATLAB package, SIMULINK." @default.
- W2078343382 created "2016-06-24" @default.
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- W2078343382 date "2006-05-05" @default.
- W2078343382 modified "2023-09-23" @default.
- W2078343382 title " Multi-environment NLF tracking assessment testbed (MENTAT): an update " @default.
- W2078343382 doi "https://doi.org/10.1117/12.667090" @default.
- W2078343382 hasPublicationYear "2006" @default.
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