Different filter approaches and performance analysis of fundamental sensors in autonomous ground vehicles;

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dc.authorscopusid57190740509
dc.authorscopusid57190742507
dc.authorscopusid55780618800
dc.contributor.authorAtila,B.
dc.contributor.authorMungan,T.E.
dc.contributor.authorKivanc,O.C.
dc.date.accessioned2024-05-25T12:32:06Z
dc.date.available2024-05-25T12:32:06Z
dc.date.issued2016
dc.departmentOkan Universityen_US
dc.department-tempAtila B., Elektrik Ve Elektronik Mühendisligi Bölümü, Okan Üniversitesi, Istanbul, Turkey; Mungan T.E., Elektrik Ve Elektronik Mühendisligi Bölümü, Okan Üniversitesi, Istanbul, Turkey; Kivanc O.C., Elektrik Ve Elektronik Mühendisligi Bölümü, Okan Üniversitesi, Istanbul, Turkey, Mekatro Mekatronik Sis. Ltd. Sti., Istanbul, Turkeyen_US
dc.description.abstractAutonomous ground vehicles are being designed and produced for industrial or military purposes. Since most of these vehicles are high cost the sensors used are high sensitive. However, sensors used in low cost robotic applications have low resolution. When non-precision sensor data added to measurement errors caused by different typical of geometry and drive methods, process functions of robots are hitching. To prevent this, five simple-structured filters are designed and compared in this study for low cost distance sensors and GPS sensors data. It has been observed that accuracy of hybrid-structured filters are more suitable than mono-structured filters in the results obtained. © 2016 IEEE.en_US
dc.identifier.citation1
dc.identifier.doi10.1109/SIU.2016.7496062
dc.identifier.endpage1608en_US
dc.identifier.isbn978-150901679-2
dc.identifier.scopus2-s2.0-84982786519
dc.identifier.startpage1605en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2016.7496062
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2345
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings -- 24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- Zonguldak -- 122605en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectexponentially weighted moving averaged filteren_US
dc.subjectleast mean squaresen_US
dc.subjectmecanum wheelsen_US
dc.subjectmoving averaged filteren_US
dc.subjectquadratic least mean squares filteren_US
dc.subjectstandart kalman filteren_US
dc.titleDifferent filter approaches and performance analysis of fundamental sensors in autonomous ground vehicles;en_US
dc.title.alternativeInsansiz Kara Araçlarinda Kullanilan Algilayicilar Için Farkli Filtre Yaklasimlari ve Performans Analizien_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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