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Author Kujawski, Artur
Affiliation Maritime University of Szczecin Faculty of Economics and Transport Engineering 11 H. Pobożnego St., 70-507 Szczecin, Poland
E-mail a.kujawski@am.szczecin.pl
Author Stępień, Grzegorz
Affiliation Maritime University of Szczecin Faculty of Navigation 1-2 Wały Chrobrego St., 70-500 Szczecin, Poland
E-mail g.stepien@am.szczecin.pl
ISSN printed 1733-8670
URI http://repository.am.szczecin.pl/handle/123456789/2435
Abstract This article presents the results of research on determining inland vessel position using a single stationary, non-metric camera, which was positioned on the Długi Bridge in Szczecin. Studies included a comparison of graphical methods (i.e. geometric transformation and the bunch of rays method) and analytical methods (i.e. 2D to 2D transformation and 3D to 2D transformation). The research material was a collection of video images of an inland vessel navigating the West Odra River between the Długi and Kolejowy bridges in Szczecin. The results of the research were compared to reference points determined using tachymetric surveys and material acquired by an Unmanned Aerial Vehicle (UAV) and the onboard GNSS satellite receiver with Real Time Kinematic (RTK) correction.
Pages 103‒111
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords inland shipping
Keywords UAV
Keywords projective transformation
Keywords image analysis
Keywords non-metric camera
Title A method of determining inland vessel position using a single stationary, non-metric camera
Type Original scientific article
References
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  9. Zalas, E., Sanecki, J., Klewski, A. & Stępień, G. (2016) Determining the spatial orientation of remote sensing sensors on the basis of incomplete coordinate systems. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 45 (117), pp. 29–33.
ISSN on-line 2392-0378
Language English
Funding No data
Figures 7
Tables 2
DOI 10.17402/251
Published 2017-12-15
Accepted 2017-11-18
Recieved 2017-10-23


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