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Abstract
The article discusses an important issue of railway line construction and maintenance, which fundamentally is the verification of geometric parameters of the railway track. For this purpose, mobile measurements have been performed using a measuring platform with two properly arranged GNSS receivers, which made it possible to determine the base vector of the platform. The measuring functionality of the system was extended by IMU. In this article, the effect of measuring conditions on the accuracy of the results collected from GNSS receivers is analyzed. In particular, the advisability of digital filtering of the recorded coordinates to eliminate disturbances is indicated. The article also presents the possible use of GNSS devices and the IMU unit for determining the direction angle and the longitudinal and lateral inclination angles of the railway track. This makes it possible to verify the track geometry in the horizontal plane by determining the positions of straight sections, circular arcs, and transition curves. It is indicated that the results of measurements are repeatable despite the dynamic interaction between the railway track and the measuring platform. The results confirm the usefulness of the applied GNSS and IMU signal processing method for monitoring the geometrical parameters of the railway track in operating conditions.
Citations
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4
CrossRef
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0
Web of Science
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3
Scopus
Authors (12)
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Leszek Lewiński
-
Artur Szumisz
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/rs14215472
- License
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Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Remote Sensing
no. 14,
ISSN: 2072-4292 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Judek S., Wilk A., Koc W., Lewiński L., Szumisz A., Chrostowski P., Grulkowski S., Szmagliński J., Michna M., Karwowski K., Skibicki J., Licow R.: Preparatory Railway Track Geometry Estimation Based on GNSS and IMU Systems// Remote Sensing -Vol. 14,iss. 21 (2022), s.5472-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/rs14215472
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
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