Kinect based intelligent wheelchair navigation with potential fields

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dc.citation.epage337en_US
dc.citation.spage330en_US
dc.contributor.authorÖzçelikörs, M.en_US
dc.contributor.authorÇoşkun, A.en_US
dc.contributor.authorSay, M. Girayhanen_US
dc.contributor.authorYazici, A.en_US
dc.contributor.authorYayan, U.en_US
dc.contributor.authorAkçakoca, M.en_US
dc.coverage.spatialAlberobello, Italyen_US
dc.date.accessioned2016-02-08T11:38:25Z
dc.date.available2016-02-08T11:38:25Z
dc.date.issued2014en_US
dc.departmentInstitute of Materials Science and Nanotechnology (UNAM)en_US
dc.descriptionDate of Conference: 23-25 June 2014en_US
dc.description.abstractIncreasing elderly people population and people with disabilities constitute a huge demand for wheelchairs. Wheelchairs have an important role on improving the lives and mobilization of people with disabilities. Moreover, autonomous wheelchairs constitute a suitable research platform for academic and industrial researchers. In this study, Finite state machine (FSM) based high-level controller and Kinect based navigation algorithm have been developed for ATEKS (Intelligent Wheelchair) which has high-tech control mechanisms, low-cost sensors and open source software (ROS, GAZEBO, ANDROID). © 2014 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:38:25Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014en
dc.identifier.doi10.1109/INISTA.2014.6873640en_US
dc.identifier.urihttp://hdl.handle.net/11693/26875
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/INISTA.2014.6873640en_US
dc.source.title2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedingsen_US
dc.subjectFinite automataen_US
dc.subjectIndustrial researchen_US
dc.subjectIntelligent robotsen_US
dc.subjectIntelligent systemsen_US
dc.subjectNavigationen_US
dc.subjectOpen source softwareen_US
dc.subjectSoftware engineeringen_US
dc.subjectWheelchairsen_US
dc.subjectIn-door navigationsen_US
dc.subjectIntelligent wheelchairen_US
dc.subjectKinecten_US
dc.subjectPotential fielden_US
dc.subjectROSen_US
dc.subjectMobile robotsen_US
dc.titleKinect based intelligent wheelchair navigation with potential fieldsen_US
dc.typeConference Paperen_US

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