Target Search and Tracking with an Autonomous Quadcopter using Type-2 Fuzzy Logic Controller
dc.authorscopusid | 57983903800 | |
dc.authorscopusid | 57220814479 | |
dc.authorscopusid | 23980961100 | |
dc.contributor.author | Abdelmoaty, O.K.H. | |
dc.contributor.author | Canbek, K.O. | |
dc.contributor.author | Oniz, Y. | |
dc.date.accessioned | 2024-07-18T20:17:02Z | |
dc.date.available | 2024-07-18T20:17:02Z | |
dc.date.issued | 2022 | |
dc.description | 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 -- 7 September 2022 through 9 September 2022 -- -- 183936 | en_US |
dc.description.abstract | In this study, an interval type-2 fuzzy logic controller has been proposed for the target search and tracking mission of an unmanned aerial vehicle. The visual data coming from the onboard camera sensor of the quadcopter have been processed to provide visual feedback from the environment and to detect the target. In the given mission, the quadcopter first performed a systematic search over the area until the target has been detected, and then proceeded with the tracking of the target. The ROS/Gazebo platform has been used to test the performance of the proposed control scheme. A fuzzy type-1 controller has been also developed to assess the performance of the type-2 controller. The results of the simulations indicate that type-2 fuzzy logic controller can provide better steady state and transient characteristics compared to its type-1 counterpart. © 2022 IEEE. | en_US |
dc.identifier.doi | 10.1109/ASYU56188.2022.9925291 | |
dc.identifier.isbn | 9781665488945 | |
dc.identifier.scopus | 2-s2.0-85142727105 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://doi.org/10.1109/ASYU56188.2022.9925291 | |
dc.identifier.uri | https://hdl.handle.net/11411/6387 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Quadcopter | en_US |
dc.subject | Ros/Gazebo | en_US |
dc.subject | Type-1 Fuzzy Logic Controller | en_US |
dc.subject | Type-2 Fuzzy Logic Controller | en_US |
dc.subject | Aircraft Detection | en_US |
dc.subject | Antennas | en_US |
dc.subject | Computer Circuits | en_US |
dc.subject | Fuzzy Logic | en_US |
dc.subject | Visual Communication | en_US |
dc.subject | Visual Servoing | en_US |
dc.subject | Aerial Vehicle | en_US |
dc.subject | Fuzzy Logic Controllers | en_US |
dc.subject | Interval Type-2 Fuzzy Logic Controllers | en_US |
dc.subject | Performance | en_US |
dc.subject | Quadcopter | en_US |
dc.subject | Ros/Gazebo | en_US |
dc.subject | Target Search | en_US |
dc.subject | Targets Tracking | en_US |
dc.subject | Type-1 Fuzzy Logic Controller | en_US |
dc.subject | Type-2 Fuzzy Logic Controllers | en_US |
dc.subject | Controllers | en_US |
dc.title | Target Search and Tracking with an Autonomous Quadcopter using Type-2 Fuzzy Logic Controller | en_US |
dc.type | Conference Object | en_US |