Non-Simulation Performance Prediction Methods for Different Implementations of a Multisensor Fusion Algorithm

Abstract Non-simulation techniques for comparison of multisensor probabilistic data association filters are developed and are used to compare tracking performance of sequential and parallel implementations of the algorithm. The non-simulation techniques are shown to accurately predict the average superior performance of the sequential implementation in terms of RMS position error and track lifetime which has been observed in simulations.

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