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Do you have any recommended resources for learning about particle filters? Also l, what other types of newer models or more advanced models other than the part

• jiggawatts 3y ago
  Unfortunately I don't have anything at hand better than what Google would provide.
• esafak 3y ago
  Look up the positioning and tracking literature; e.g., Probabilistic Robotics by Thrun et al. The method is also called "sequential Monte Carlo". I found this article useful in learning the method: Bayesian Filtering for Location Estimation (https://rse-lab.cs.washington.edu/postscripts/bayes-filter-pervasive-03.pdf https://rse-lab.cs.washington.edu/postscripts/bayes-filter-p...) It might help to first review importance sampling. https://en.wikipedia.org/wiki/Importance_sampling https://en.wikipedia.org/wiki/Importance_sampling A comprehensive survey (for 2003) is Zhe Chen's "Bayesian Filtering: From Kalman Filters to Particle Filters, and Beyond". A contemporary survey would surely incorporate machine learning. https://people.bordeaux.inria.fr/pierre.delmoral/chen_bayesian.pdf https://people.bordeaux.inria.fr/pierre.delmoral/chen_bayesi... For extensions see "An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo" https://people.eecs.berkeley.edu/~jordan/sail/readings/cappe-godsill-moulines.pdf https://people.eecs.berkeley.edu/~jordan/sail/readings/cappe...