Vision-Based Decision Tree Controller Design Method Sensorless Application by using Angle Knowledge

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dc.authoridKocamaz, Adnan Fatih/0000-0002-7729-8322
dc.authoridDönmez, Emrah/0000-0003-3345-8344
dc.authoriddirik, mahmut/0000-0003-1718-5075
dc.authorwosidKocamaz, Adnan Fatih/C-2820-2014
dc.authorwosidDönmez, Emrah/W-2891-2017
dc.authorwosidDirik, Mahmut/AAD-6165-2021
dc.authorwosiddirik, mahmut/R-7971-2019
dc.contributor.authorDirik, Mahmut
dc.contributor.authorKocamaz, Adnan Fatih
dc.contributor.authorDonmez, Emrah
dc.date.accessioned2024-08-04T20:42:35Z
dc.date.available2024-08-04T20:42:35Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.description.abstractIn this study, a new control model for differential drive mobile robots was developed by using image-based decision tree method(DTM). Developed mobile robot control model was designed in an obstacle-free environment. The wheel encoder sensor was designed as a controller capable of independent positioning by using real-time images from overhead cameras on the bird's eye view. In this new method, a virtual triangular area between the target and the robot was created. These triangular base angles were calculated on the image. Decision tree controller was determined as the difference between the base angles by branching. Decision Tree leaves control determines the left and right wheel speeds depending on the difference model design was carried out. The developed new controller model was tested on Khepera IV robot. In practice, the robot's speed and angle of the body was carried uncensored control and it was observed to find the target in different applications. Application of the results and performance of the system was shown.en_US
dc.description.sponsorshipIEEE,Bulent Ecevit Univ, Dept Elect & Elect Engn,Bulent Ecevit Univ, Dept Biomed Engn,Bulent Ecevit Univ, Dept Comp Engnen_US
dc.identifier.endpage1852en_US
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.scopus2-s2.0-84982855900en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1849en_US
dc.identifier.urihttps://hdl.handle.net/11616/97471
dc.identifier.wosWOS:000391250900439en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 24th Signal Processing and Communication Application Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDecision trees controller modelen_US
dc.subjectKhepera IVen_US
dc.subjectOverhead cameraen_US
dc.subjectSensorless controlen_US
dc.titleVision-Based Decision Tree Controller Design Method Sensorless Application by using Angle Knowledgeen_US
dc.typeConference Objecten_US

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