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dc.contributor.authorAltuǧ, Erdinç
dc.contributor.authorGelbal, Şükrü Yaren
dc.contributor.authorKeçeci, Emin Faruk
dc.contributor.authorGültekin, Mehmet Kabil
dc.date.accessioned2024-06-06T15:24:05Z
dc.date.available2024-06-06T15:24:05Z
dc.date.issued2017en_US
dc.identifier.isbn978-145035207-9
dc.identifier.urihttps://doi.org10.1145/3045714.3045719
dc.identifier.urihttps://hdl.handle.net/20.500.12573/2192
dc.description.abstractThere is an emerging need of intelligent vehicles on indoor environments such as university campuses, airports or shopping malls. These intelligent vehicles can help elderly, disabled, or people with heavy luggage. This paper describes an intelligent vehicle that can be used indoor as well as outdoor areas for this purpose. Finding the exact location for indoor robots is not an easy task, since Global Positioning System (GPS) is not available indoors. In this work onboard sensors such as motor encoder and steering-wheel encoder were used to obtain localization estimates. The errors are determined to be low even when the vehicle travels long distances.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionof10.1145/3045714.3045719en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutonomousen_US
dc.subjectDriverless vehiclesen_US
dc.subjectObstacle avoidanceen_US
dc.titleLocalization of an autonomous personnel carrying vehicle in indoor environmentsen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0001-8561-6960en_US
dc.contributor.institutionauthorKeçeci, Emin Faruk
dc.identifier.startpage38en_US
dc.identifier.endpage41en_US
dc.relation.journalACM International Conference Proceeding Seriesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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