Localization of an autonomous personnel carrying vehicle in indoor environments
| dc.contributor.author | Altuǧ, Erdinç | |
| dc.contributor.author | Gelbal, Şükrü Yaren | |
| dc.contributor.author | Keçeci, Emin Faruk | |
| dc.contributor.author | Gültekin, Mehmet Kabil | |
| dc.contributor.authorID | 0000-0001-8561-6960 | en_US |
| dc.contributor.department | AGÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümü | en_US |
| dc.contributor.institutionauthor | Keçeci, Emin Faruk | |
| dc.date.accessioned | 2024-06-06T15:24:05Z | |
| dc.date.available | 2024-06-06T15:24:05Z | |
| dc.date.issued | 2017 | en_US |
| dc.description.abstract | There 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.identifier.endpage | 41 | en_US |
| dc.identifier.isbn | 978-145035207-9 | |
| dc.identifier.startpage | 38 | en_US |
| dc.identifier.uri | https://doi.org10.1145/3045714.3045719 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/2192 | |
| dc.language.iso | eng | en_US |
| dc.publisher | Association for Computing Machinery | en_US |
| dc.relation.isversionof | 10.1145/3045714.3045719 | en_US |
| dc.relation.journal | ACM International Conference Proceeding Series | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Autonomous | en_US |
| dc.subject | Driverless vehicles | en_US |
| dc.subject | Obstacle avoidance | en_US |
| dc.title | Localization of an autonomous personnel carrying vehicle in indoor environments | en_US |
| dc.type | conferenceObject | en_US |
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