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From RTK to PPP‑RTK: towards real‑time kinematic precise point positioning to support autonomous driving of inland waterway vessels

An, Xiangdong und Ziebold, Ralf und Lass, Christoph (2023) From RTK to PPP‑RTK: towards real‑time kinematic precise point positioning to support autonomous driving of inland waterway vessels. GPS Solutions, 27 (86). Springer. doi: 10.1007/s10291-023-01428-2. ISSN 1080-5370.

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Offizielle URL: https://link.springer.com/article/10.1007/s10291-023-01428-2

Kurzfassung

PPP-RTK is Precise Point Positioning (PPP) using corrections from a ground reference network, which enables single receiver users with integer ambiguity resolution thereby improving its performance. However, most of the PPP-RTK studies are investigated and evaluated in a static situation or a post-processing mode because of the complexity of implementation in real-time practical applications. Moreover, although PPP-RTK achieves a faster convergence than PPP, it typically needs 30 s or even longer to derive high-accuracy results. We have implemented a real-time PPP-RTK approach based on undifferenced observations and State-Space Representation corrections with a fast convergence of less than 30 s to support autonomous driving of inland waterway vessels. The PPP-RTK performances and their feasibility to support autonomous driving have been evaluated and validated in a real-time inland waterway navigation. It proves the PPP-RTK approach can realize a precise positioning of less than 10 cm in horizontal with a rapid convergence. The convergence time is within 10 s after a normal bridge passing and less than 30 s after a complicated bridge passing. Moreover, the PPP-RTK approach can be extended to outside of the GNSS station network. Even if the location is 100 km away from the border of the GNSS station network, the PPP-RTK convergence time after a bridge passing is also normally less than 30 s. We have realized the first automated entry into a waterway lock for a vessel supported by PPP-RTK and taken the first step toward autonomous driving of inland vessels based on PPP-RTK.

elib-URL des Eintrags:https://elib.dlr.de/195668/
Dokumentart:Zeitschriftenbeitrag
Zusätzliche Informationen:This work was supported by the SCIPPPER project granted by German Federal Ministry of Economic Affairs and Climate Action Grant number (03SX470E). It was also partially funded by the German Federal Ministry for Digital and Transport (Grant number: VB18F1025B) and the European Commission (Grant number: 861377).
Titel:From RTK to PPP‑RTK: towards real‑time kinematic precise point positioning to support autonomous driving of inland waterway vessels
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
An, XiangdongXiangdong.An (at) dlr.dehttps://orcid.org/0000-0001-5190-9503NICHT SPEZIFIZIERT
Ziebold, RalfRalf.Ziebold (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Lass, ChristophChristoph.Lass (at) dlr.dehttps://orcid.org/0000-0001-9998-0632138193027
Datum:13 März 2023
Erschienen in:GPS Solutions
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:27
DOI:10.1007/s10291-023-01428-2
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
Leick, AlfredNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Verlag:Springer
ISSN:1080-5370
Status:veröffentlicht
Stichwörter:Precise point positioning; Autonomous driving; Inland waterway navigation; State-space representation corrections
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Kommunikation, Navigation, Quantentechnologien
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R KNQ - Kommunikation, Navigation, Quantentechnologie
DLR - Teilgebiet (Projekt, Vorhaben):R - GNSS Technologien und Dienste
Standort: Neustrelitz
Institute & Einrichtungen:Institut für Kommunikation und Navigation > Nautische Systeme
Hinterlegt von: An, Xiangdong
Hinterlegt am:06 Jul 2023 18:57
Letzte Änderung:28 Jul 2023 11:31

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  • From RTK to PPP‑RTK: towards real‑time kinematic precise point positioning to support autonomous driving of inland waterway vessels. (deposited 06 Jul 2023 18:57) [Gegenwärtig angezeigt]

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