Skip to the main content

Professional paper

Comparison of the Classic Method of Hull Shape Assessment of a 5-Meter L5 Sailboat with the Photogrammetry Method

Matija Dujam ; University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia
Adrijan Stojaković ; University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia
Marko Hadjina ; University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia
Dunja Legović ; University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia
Anton Turk orcid id orcid.org/0000-0002-7512-9226 ; University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia *

* Corresponding author.


Full text: english pdf 1.893 Kb

page 193-211

downloads: 104

cite


Abstract

This paper explores the comparison of two methods for assessing the hull shape of a 5-meter L5
sailboat. The classic way of obtaining the hull shape, involving manual measurements and traditional
tools, is compared to the photogrammetry method, which relies on high-resolution photographs and
software algorithms for analysis. Various aspects, including accuracy, speed, and practicality of both
approaches, are analyzed in the study.
The results suggest that the photogrammetry method has significant advantages in terms of accuracy
and speed of shape assessment compared to the classic method. Photogrammetry enables more
precise and faster measurement of various sailplane shape parameters, reducing the need for manual
interventions and human subjective assessments. Additionally, the photogrammetry method provides
high-quality visual data that can be used for further analysis and simulations.
This paper suggests that the application of photogrammetry can enhance the process of obtaining
the hull shape of 5-meter L5 sailboats, thereby increasing precision and efficiency in the field of
engineering and design.

Keywords

sailboat hull shape, manual measurements, photogrammetry method

Hrčak ID:

317228

URI

https://hrcak.srce.hr/317228

Publication date:

16.5.2024.

Visits: 267 *