dc.contributor.advisor | | |
dc.creator | Pérez Hurtado de Mendoza, Ignacio | es |
dc.creator | Capitán Fernández, Jesús | es |
dc.creator | Caballero, Fernando | es |
dc.creator | Merino, Luis | es |
dc.date.accessioned | 2019-07-05T09:40:50Z | |
dc.date.available | 2019-07-05T09:40:50Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Pérez Hurtado de Mendoza, I., Capitán, J., Caballero, F. y Merino, L. (2015). An extension of GHMMs for environments with occlusions and automatic goal discovery for person trajectory prediction. En ECMR 2015: European Conference on Mobile Robots Lincoln, UK: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4673-9163-4 | es |
dc.identifier.uri | https://hdl.handle.net/11441/87880 | |
dc.description.abstract | Robots navigating in a social way should use some
knowledge about common motion patterns of people in the
environment. Moreover, it is known that people move intending
to reach certain points of interest, and machine learning
techniques have been widely used for acquiring this knowledge
by observation. Learning algorithms such as Growing Hidden
Markov Models (GHMMs) usually assume that points of interest
are located at the end of human trajectories, but complete
trajectories cannot always be observed by a mobile robot due
to occlusions and people going out of sensor range. This paper
extends GHMMs to deal with partial observed trajectories where
people’s goals are not known a priori. A novel technique based
on hypothesis testing is also used to discover the points of
interest (goals) in the environment. The approach is validated
by predicting people’s motion in three different datasets. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | ECMR 2015: European Conference on Mobile Robots (2015), | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | An extension of GHMMs for environments with occlusions and automatic goal discovery for person trajectory prediction | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7324187?arnumber=7324187&tag=1 | es |
dc.identifier.doi | 10.1109/ECMR.2015.7324187 | es |
idus.format.extent | 7 | es |
dc.eventtitle | ECMR 2015: European Conference on Mobile Robots | es |
dc.eventinstitution | Lincoln, UK | es |
dc.relation.publicationplace | New York, USA | es |