Web: http://arxiv.org/abs/2205.04806

May 11, 2022, 1:10 a.m. | Alessandro D'Ortenzio, Costanzo Manes, Umut Orguner

stat.ML updates on arXiv.org arxiv.org

In target tracking and sensor fusion contexts it is not unusual to deal with
a large number of Gaussian densities that encode the available information
(multiple hypotheses), as in applications where many sensors, affected by
clutter or multimodal noise, take measurements on the same scene. In such cases
reduction procedures must be implemented, with the purpose of limiting the
computational load. In some situations it is required to fuse all available
information into a single hypothesis, and this is usually …

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