Publication:
The Kinematic Performance of Real-Time PPP Services in Challenging Environment

dc.authorscopusid56572918500
dc.authorscopusid44461771900
dc.authorwosidPeker, Ali Ufuk/W-1417-2019
dc.authorwosidPeker, Ali/W-1417-2019
dc.authorwosidİlçi, Veli/Aai-1611-2020
dc.contributor.authorIlci, Veli
dc.contributor.authorPeker, Ali Ufuk
dc.contributor.authorIDPeker, Ali Ufuk/0000-0003-1332-0305
dc.contributor.authorIDİlçi, Veli/0000-0002-9485-874X
dc.date.accessioned2025-12-11T01:17:59Z
dc.date.issued2022
dc.departmentOndokuz Mayıs Üniversitesien_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, Turkeyen_US
dc.descriptionPeker, Ali Ufuk/0000-0003-1332-0305; İlçi, Veli/0000-0002-9485-874Xen_US
dc.description.abstractThis 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.sponsorshipTurkish Scientific and Technolog-ical Research Council of Turkey (TUBITAK) [3200327]en_US
dc.description.sponsorshipFunding This work was supported by The Turkish Scientific and Technolog-ical Research Council of Turkey (TUBITAK) (Project No. 3200327) .en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1016/j.measurement.2021.110434
dc.identifier.issn0263-2241
dc.identifier.issn1873-412X
dc.identifier.scopus2-s2.0-85120502056
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2021.110434
dc.identifier.urihttps://hdl.handle.net/20.500.12712/42674
dc.identifier.volume189en_US
dc.identifier.wosWOS:000749806900004
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofMeasurementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRT-PPPen_US
dc.subjectCenterpoint RTXen_US
dc.subjectTerrastaren_US
dc.subjectAutomated Vehicleen_US
dc.titleThe Kinematic Performance of Real-Time PPP Services in Challenging Environmenten_US
dc.typeArticleen_US
dspace.entity.typePublication

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