İnsansız hava araçları için eşanlı konumlandırma ve haritalama
dc.citation.epage | 4 | en_US |
dc.citation.spage | 1 | en_US |
dc.contributor.author | Kök, Mehmet | en_US |
dc.contributor.author | Barshan, Billur | en_US |
dc.coverage.spatial | Aydın, Turkey | |
dc.date.accessioned | 2016-02-08T11:37:04Z | |
dc.date.available | 2016-02-08T11:37:04Z | |
dc.date.issued | 2008-04 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 20-22 April 2008 | |
dc.description | Conference name: EEE 16th Signal Processing, Communication and Applications Conference, SIU 2008 | |
dc.description.abstract | Sabit yükseklikte uçtuğu varsayılan insansız Hava Araçları ( İHA) için görü-tabanlı bir Eşanlı Konumlandırma ve Haritalama (EKVH) algoritması sunulmaktadır. Araç üzerindeki kameradan elde edilen görüntülerin öznitelikleri kullanılarak farklı yer işaretleri saptanmaktadır. Yer işaretlerine Genişletilmiş¸ Kalman Süzgeci (GKS) uygulanmış ve EKVH probleminin çözümü için bazı benzetim sonuçları sunulmuştur. | en_US |
dc.description.abstract | In this work, a 2D vision-based simultaneous localization and mapping algorithm is developed for an unmanned aerial vehicle flying at a constant altitude. We use visual features of images obtained from an on-board camera to identify different landmarks. Using these landmarks we apply the well-known extended Kalman filter to the SLAM problem and present some simulation results. | |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:37:04Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008 | en |
dc.identifier.doi | 10.1109/SIU.2008.4632709 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/26829 | |
dc.language.iso | Turkish | en_US |
dc.publisher | IEEE | |
dc.relation.isversionof | http://dx.doi.org/10.1109/SIU.2008.4632709 | en_US |
dc.source.title | IEEE 16th Signal Processing, Communication and Applications Conference, SIU 2008 | en_US |
dc.subject | 2d visions | en_US |
dc.subject | Constant altitudes | en_US |
dc.subject | Simulation results | en_US |
dc.subject | Simultaneous localization and mapping algorithms | en_US |
dc.subject | Simultaneous localization and mappings | en_US |
dc.subject | SLAM problems | en_US |
dc.subject | Unmanned aerial vehicle] | en_US |
dc.subject | Visual features | en_US |
dc.subject | Cellular radio systems | en_US |
dc.subject | Conformal mapping | en_US |
dc.subject | Control theory | en_US |
dc.subject | Military applications | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Unmanned aerial vehicles (UAV) | en_US |
dc.subject | Unmanned vehicles | en_US |
dc.title | İnsansız hava araçları için eşanlı konumlandırma ve haritalama | en_US |
dc.title.alternative | 2D simultaneous localization and mapping for unmanned aerial vehicles | en_US |
dc.type | Conference Paper | en_US |
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