Vol.14, No.1, February 2025.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Geoinformatics, 3D Modelling of Buildings with Drones for Civil Engineering Experts

 

Nikola Kováčiková, Martin Dědič, Iva Lorencová

 

© 2025 Martin Dědič, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 14, Issue 1, Pages 35-43, ISSN 2217-8309, DOI: 10.18421/TEM141-04, February 2025.

 

Received: 20 June 2024.

Revised:   30 November 2024.
Accepted: 09 December 2024.
Published: 27 February 2025.

 

Abstract:

 

Modern 3D modeling technologies and geoinformatics have become pivotal tools in civil engineering research. This study explores the creation of accurate 3D building models using dense point clouds captured by drones, comparing their precision to traditional measurement methods. Dimensions were measured with a tape measure, laser, and 3D modeling software. Analytical techniques, including linear regression, mean absolute deviation, standard deviation, and Welch’s t-test, assessed the accuracy and reliability of the drone-based models. Results indicate that drones and 3D models provide a highly effective and accurate means of capturing building dimensions, with an average deviation of 0.46% compared to traditional methods.

 

Keywords – 3D modeling, drones, dense point clouds, building measurement accuracy, civil engineering.

 

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