Particle Filtering and Nonlinear Estimation Methods leaf node


URI

https://openalex.org/T10711

Label

Particle Filtering and Nonlinear Estimation Methods

Description

This cluster of papers focuses on particle filtering and nonlinear estimation methods, including Kalman filters, Monte Carlo methods, sensor fusion, sequential Monte Carlo, Gaussian filters, and Bayesian inference. The papers cover a wide range of applications such as state estimation, multitarget tracking, and sensor network management.

Implementation

@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://openalex.org/T10711> a skos:Concept ;
    rdfs:label "Particle Filtering and Nonlinear Estimation Methods"@en ;
    rdfs:isDefinedBy openalex: ;
    owl:sameAs <https://en.wikipedia.org/wiki/Particle_filtering>,
        <https://openalex.org/T10711> ;
    skos:broader oasubfields:1702 ;
    skos:definition "This cluster of papers focuses on particle filtering and nonlinear estimation methods, including Kalman filters, Monte Carlo methods, sensor fusion, sequential Monte Carlo, Gaussian filters, and Bayesian inference. The papers cover a wide range of applications such as state estimation, multitarget tracking, and sensor network management."@en ;
    skos:inScheme openalex: ;
    skos:prefLabel "Particle Filtering and Nonlinear Estimation Methods"@en ;
    openalex:cited_by_count 737537 ;
    openalex:works_count 49643 .