Application of Least Squares with Conditional Equations Method for Railway Track Inventory Using GNSS Observations - Publikacja - MOST Wiedzy

Wyszukiwarka

Application of Least Squares with Conditional Equations Method for Railway Track Inventory Using GNSS Observations

Abstrakt

Satellite geodetic networks are commonly used in surveying tasks, but they can also be used in mobile surveys. Mobile satellite surveys can be used for trackage inventory, diagnostics and design. The combination of modern technological solutions with the adaptation of research methods known in other fields of science offers an opportunity to acquire highly accurate solutions for railway track inventory. This article presents the effects of work carried out using a mobile surveying platform on which Global Navigation Satellite System (GNSS) receivers were mounted. The satellite observations (surveys) obtained were aligned using one of the methods known from classical land surveying. The records obtained during the surveying campaign on a 246th km railway track section were subjected to alignment. This article provides a description of the surveying campaign necessary to obtain measurement data and a theoretical description of the method employed to align observation results as well as their visualisation.

Cytowania

  • 8

    CrossRef

  • 0

    Web of Science

  • 9

    Scopus

Cytuj jako

Pełna treść

pobierz publikację
pobrano 86 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Creative Commons: CC-BY otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
SENSORS nr 20,
ISSN: 1424-8220
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Czaplewski K., Wiśniewski Z., Specht C., Wilk A., Koc W., Karwowski K., Skibicki J., Dąbrowski P., Czaplewski B., Specht M., Chrostowski P., Szmagliński J., Judek S., Grulkowski S., Licow R.: Application of Least Squares with Conditional Equations Method for Railway Track Inventory Using GNSS Observations// SENSORS -Vol. 20,iss. 17 (2020), s.4948-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/s20174948
Weryfikacja:
Politechnika Gdańska

wyświetlono 170 razy

Publikacje, które mogą cię zainteresować

Meta Tagi