A comparison of Bayesian prediction techniques for mobile robot trajectory tracking

Simple item page
dc.contributor.authorPeralta Cabezas, J. L.
dc.contributor.authorTorres Torriti, M.
dc.contributor.authorGuarini Hermann, M.
dc.date.accessioned2024-01-10T13:45:35Z
dc.date.available2024-01-10T13:45:35Z
dc.date.issued2008
dc.description.abstractThis paper presents a performance comparison of different estimation and prediction techniques applied to the problem of tracking multiple robots. The main performance criteria are the magnitude of the estimation or prediction error, the computational effort and the robustness of each method to non-Gaussian noise. Among the different techniques compared are the well-known Kalman filters and their different variants (e.g. extended and unscented), and the more recent techniques relying on Sequential Monte Carlo Sampling methods, such as particle filters and Gaussian Mixture Sigma Point Particle Filter.
dc.description.funderNational Commission for Science and Technology Research of Chile (Conicyt)
dc.fechaingreso.objetodigital2024-04-25
dc.format.extent15 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1017/S0263574708004153
dc.identifier.eissn1469-8668
dc.identifier.issn0263-5747
dc.identifier.urihttps://doi.org/10.1017/S0263574708004153
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/79052
dc.identifier.wosidWOS:000259621300002
dc.information.autorucIngeniería;Guarini-Hermann M;S/I;99643
dc.information.autorucIngeniería;Peralta-Cabezas J;S/I;19092
dc.information.autorucIngeniería;Torres-Torriti M;S/I;96590
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final585
dc.pagina.inicio571
dc.publisherCAMBRIDGE UNIV PRESS
dc.revistaROBOTICA
dc.rightsacceso restringido
dc.subjectmobile robot tracking
dc.subjectlatency compensation
dc.subjectBayesian prediction
dc.subjectKalman filtering
dc.subjectMonte Carlo methods
dc.subjectsigma-point filters
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleA comparison of Bayesian prediction techniques for mobile robot trajectory tracking
dc.typeartículo
dc.volumen26
sipa.codpersvinculados99643
sipa.codpersvinculados19092
sipa.codpersvinculados96590
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A comparison of Bayesian prediction techniques for mobile robot trajectory tracking.pdf
Size:
2.42 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de revistas