Özet
Localization is a problem in mobile robotics, which is widely studied and tries to determine the instantaneous position and orientation of the robot. However, the studies that present the necessary infrastructure for real-world applications of the developed methods are in the minority. Therefore, in this study, the architecture required to implement the updated SA-MCL algorithm with the ellipse based energy model in the ROS environment is given. According to the proposed architecture, this algorithm is utilized in a real application and the obtained results are shown. Thus, it is aimed that the researchers who have ROS enabled experimental setup and/or robot model prepared in ROS-Gazebo environment can easily apply the method.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 885-889 |
| Sayfa sayısı | 5 |
| ISBN (Elektronik) | 9786050112757 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - Kas 2019 |
| Etkinlik | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 - Bursa, Turkey Süre: 28 Kas 2019 → 30 Kas 2019 |
Yayın serisi
| Adı | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
|---|
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| ???event.eventtypes.event.conference??? | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Bursa |
| Periyot | 28/11/19 → 30/11/19 |
Bibliyografik not
Publisher Copyright:© 2019 Chamber of Turkish Electrical Engineers.
Finansman
This study was financially supported by the Scientific and Technological Research Council of Turkey, abbreviated as TUBITAK, under grant number 116E734.
| Finansörler | Finansör numarası |
|---|---|
| TUBITAK | 116E734 |
| Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |