Publication: The Kinematic Performance of Real-Time PPP Services in Challenging Environment
| dc.authorscopusid | 56572918500 | |
| dc.authorscopusid | 44461771900 | |
| dc.authorwosid | Peker, Ali Ufuk/W-1417-2019 | |
| dc.authorwosid | Peker, Ali/W-1417-2019 | |
| dc.authorwosid | İlçi, Veli/Aai-1611-2020 | |
| dc.contributor.author | Ilci, Veli | |
| dc.contributor.author | Peker, Ali Ufuk | |
| dc.contributor.authorID | Peker, Ali Ufuk/0000-0003-1332-0305 | |
| dc.contributor.authorID | İlçi, Veli/0000-0002-9485-874X | |
| dc.date.accessioned | 2025-12-11T01:17:59Z | |
| dc.date.issued | 2022 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Ilci, Veli] Ondokuz Mayis Univ, Fac Engn, Dept Geomat Engn, Kurupelit Campus, TR-551139 Atakum, Samsun, Turkey; [Peker, Ali Ufuk] ADASTEC Corp, BUDOTEK Teknopk,Dudullu OSB DES 2 Cad 8-22 Umrani, TR-34776 Istanbul, Turkey | en_US |
| dc.description | Peker, Ali Ufuk/0000-0003-1332-0305; İlçi, Veli/0000-0002-9485-874X | en_US |
| dc.description.abstract | This study comparatively tests the performance of two real-time PPP services used in automated vehicle technologies, namely Trimble CenterPoint RTX and TerraStar-C Pro. This test focuses on the convergence time and the accuracy performance of these two services. The convergence time determination test was conducted in a partially obstructed environment in a static position of the autonomous vehicle. The convergence time to obtain the Trimble CenterPoint RTX service's cm-level accuracy is between 50 and 60 min after the cold-start, while this duration is nearly 2-3 min for TerraStar-C Pro. The accuracy test is conducted in a highly obstructed environment in kinematic mode. The results revealed that the Trimble CenterPoint RTX Technology provides 17 and 27 cm accuracy in 2D position and height components, respectively. In contrast, the TerraStar-C Pro service offers 9 and 15 cm accuracies in 2D position and height components. | en_US |
| dc.description.sponsorship | Turkish Scientific and Technolog-ical Research Council of Turkey (TUBITAK) [3200327] | en_US |
| dc.description.sponsorship | Funding This work was supported by The Turkish Scientific and Technolog-ical Research Council of Turkey (TUBITAK) (Project No. 3200327) . | en_US |
| dc.description.woscitationindex | Science Citation Index Expanded | |
| dc.identifier.doi | 10.1016/j.measurement.2021.110434 | |
| dc.identifier.issn | 0263-2241 | |
| dc.identifier.issn | 1873-412X | |
| dc.identifier.scopus | 2-s2.0-85120502056 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://doi.org/10.1016/j.measurement.2021.110434 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/42674 | |
| dc.identifier.volume | 189 | en_US |
| dc.identifier.wos | WOS:000749806900004 | |
| dc.identifier.wosquality | Q1 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Sci Ltd | en_US |
| dc.relation.ispartof | Measurement | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | RT-PPP | en_US |
| dc.subject | Centerpoint RTX | en_US |
| dc.subject | Terrastar | en_US |
| dc.subject | Automated Vehicle | en_US |
| dc.title | The Kinematic Performance of Real-Time PPP Services in Challenging Environment | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
