Landmark Detection via ANN for a Web Based Autonomous Mobile Robot: Sunar

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dc.contributor.authorYılmaz, Nihat
dc.contributor.authorSağıroğlu, Şeref
dc.contributor.authorBayrak, Mehmet
dc.date.accessioned2020-03-26T17:02:49Z
dc.date.available2020-03-26T17:02:49Z
dc.date.issued2006
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, a landmark detection method was developed for finding or position correction of a web based mobile robot designed and implemented for long term and regular scientific purposes. Colored numeric and alphanumeric character sticker in place of other artificial landmarks appropriate for robot is selected to be landmark for understanding of both human and robot. Statistical analysis of captured and segmented image part is used for feature vector extraction. Statistical properties of histogram, projections and image raw data are selectable components of feature vector. The feature vector is tested by previously trained multilayer perceptron feed forward neural network (ANN). For this aim, online programs required for robotic activities, image processing and neural network processes have been developed on web interface of web-robot. In this program, improved software libraries for SUNAR system are employed. Real time results and robot scenes are monitored online on web portal.en_US
dc.identifier.citationYılmaz, N., Sağıroğlu, Ş., Bayrak, M., (2006). Landmark Detection via ANN for a Web Based Autonomous Mobile Robot: Sunar. Selçuk Journal of Applied Mathematics, 7(1), 45-61.
dc.identifier.endpage61en_US
dc.identifier.issn1302-7980en_US
dc.identifier.issue1en_US
dc.identifier.startpage45en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TmpVNU1qazU=
dc.identifier.urihttps://hdl.handle.net/20.500.12395/20218
dc.identifier.volume7en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorYılmaz, Nihat
dc.institutionauthorBayrak, Mehmet
dc.language.isoenen_US
dc.relation.ispartofSelçuk Journal of Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleLandmark Detection via ANN for a Web Based Autonomous Mobile Robot: Sunaren_US
dc.typeArticleen_US

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