The possibilities of using drones in the 3D object modelling field

This article is focused on the 3D Modelling of Objects from recordings taken by drones. The principles of multi-propeller devices and individual commercially-available parts for the construction of drones. A separate part is devoted to the Photogrammetry technique for the 3D modelling of objects fro...

Full description

Bibliographic Details
Main Authors: Adamek Milan, Mach Vaclav, Neumann Petr
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821004051
id doaj-1664545951e84303b3ad313443863955
record_format Article
spelling doaj-1664545951e84303b3ad3134438639552021-02-02T07:49:30ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012100405110.1051/matecconf/201821004051matecconf_cscc2018_04051The possibilities of using drones in the 3D object modelling fieldAdamek MilanMach VaclavNeumann PetrThis article is focused on the 3D Modelling of Objects from recordings taken by drones. The principles of multi-propeller devices and individual commercially-available parts for the construction of drones. A separate part is devoted to the Photogrammetry technique for the 3D modelling of objects from images taken by drones. It maps the currently available software for this method, and presents tools available online, as well as PC tools and mobile applications. The practical part describes the construction and assembly of one’s own multi-propeller machine and its subsequent use for collecting imagery material for the modelling of selected objects. The modelling process – with the support of selected software, is also described. The result is evaluated from the perspective of its possible use in Safety/Security Technologies.https://doi.org/10.1051/matecconf/201821004051
collection DOAJ
language English
format Article
sources DOAJ
author Adamek Milan
Mach Vaclav
Neumann Petr
spellingShingle Adamek Milan
Mach Vaclav
Neumann Petr
The possibilities of using drones in the 3D object modelling field
MATEC Web of Conferences
author_facet Adamek Milan
Mach Vaclav
Neumann Petr
author_sort Adamek Milan
title The possibilities of using drones in the 3D object modelling field
title_short The possibilities of using drones in the 3D object modelling field
title_full The possibilities of using drones in the 3D object modelling field
title_fullStr The possibilities of using drones in the 3D object modelling field
title_full_unstemmed The possibilities of using drones in the 3D object modelling field
title_sort possibilities of using drones in the 3d object modelling field
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description This article is focused on the 3D Modelling of Objects from recordings taken by drones. The principles of multi-propeller devices and individual commercially-available parts for the construction of drones. A separate part is devoted to the Photogrammetry technique for the 3D modelling of objects from images taken by drones. It maps the currently available software for this method, and presents tools available online, as well as PC tools and mobile applications. The practical part describes the construction and assembly of one’s own multi-propeller machine and its subsequent use for collecting imagery material for the modelling of selected objects. The modelling process – with the support of selected software, is also described. The result is evaluated from the perspective of its possible use in Safety/Security Technologies.
url https://doi.org/10.1051/matecconf/201821004051
work_keys_str_mv AT adamekmilan thepossibilitiesofusingdronesinthe3dobjectmodellingfield
AT machvaclav thepossibilitiesofusingdronesinthe3dobjectmodellingfield
AT neumannpetr thepossibilitiesofusingdronesinthe3dobjectmodellingfield
AT adamekmilan possibilitiesofusingdronesinthe3dobjectmodellingfield
AT machvaclav possibilitiesofusingdronesinthe3dobjectmodellingfield
AT neumannpetr possibilitiesofusingdronesinthe3dobjectmodellingfield
_version_ 1724298498874015744