Different filter approaches and performance analysis of fundamental sensors in autonomous ground vehicles;
| dc.authorscopusid | 57190740509 | |
| dc.authorscopusid | 57190742507 | |
| dc.authorscopusid | 55780618800 | |
| dc.contributor.author | Atila,B. | |
| dc.contributor.author | Mungan,T.E. | |
| dc.contributor.author | Kivanc,O.C. | |
| dc.date.accessioned | 2024-05-25T12:32:06Z | |
| dc.date.available | 2024-05-25T12:32:06Z | |
| dc.date.issued | 2016 | |
| dc.department | Okan University | en_US |
| dc.department-temp | Atila 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, Turkey | en_US |
| dc.description.abstract | Autonomous 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.citationcount | 1 | |
| dc.identifier.doi | 10.1109/SIU.2016.7496062 | |
| dc.identifier.endpage | 1608 | en_US |
| dc.identifier.isbn | 978-150901679-2 | |
| dc.identifier.scopus | 2-s2.0-84982786519 | |
| dc.identifier.startpage | 1605 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2016.7496062 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/2345 | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2016 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 -- 122605 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 1 | |
| dc.subject | exponentially weighted moving averaged filter | en_US |
| dc.subject | least mean squares | en_US |
| dc.subject | mecanum wheels | en_US |
| dc.subject | moving averaged filter | en_US |
| dc.subject | quadratic least mean squares filter | en_US |
| dc.subject | standart kalman filter | en_US |
| dc.title | Different filter approaches and performance analysis of fundamental sensors in autonomous ground vehicles; | en_US |
| dc.title.alternative | Insansiz Kara Araçlarinda Kullanilan Algilayicilar Için Farkli Filtre Yaklasimlari ve Performans Analizi | en_US |
| dc.type | Conference Object | en_US |