Unsupervised Learning Grouping-Based Resampling for Particle Filters
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DOI: 10.1109/access.2019.2937586
Abstract: Conventional resampling for particle filters suffers from discarding much potentially useful information due to using less information of spatial distribution of sampling particles set. An unsupervised learning grouping based resampling for particles filter, which could… read more here.
Keywords: resampling particle; particles set; particle filters; unsupervised learning ... See more keywords