Towards a {Dataset} of {Realistic} {3D} {Intralogistics} {Scenes} for {AI} {Applications}
Realistic data is the crucial basis for the development and operation of artificial intelligence (AI) applications. In intralogistics many applications require realistic 3D representations of the material flow systems as a basis. Capturing real world 3D data or building synthetic 3D scenes by hand is costly. In order to generate realistic scenes, a reference dataset of realistic intralogistics systems is required. This paper shows motivating use cases for a 3D dataset of intralogistics scenes and works out an approach to capture such a dataset.
- Veröffentlicht in:
IFAC-PapersOnLine - Typ:
Article - Autoren:
- Jahr:
2025
Informationen zur Zitierung
: Towards a {Dataset} of {Realistic} {3D} {Intralogistics} {Scenes} for {AI} {Applications}, IFAC-PapersOnLine, 2025, 59, 2503--2508, Murrenhoff.etal.2025a,
@Article{Murrenhoff.etal.2025a,
author={Murrenhoff, Anike; Jäkel, Jan Philipp; Venkatadri, Uday},
title={Towards a {Dataset} of {Realistic} {3D} {Intralogistics} {Scenes} for {AI} {Applications}},
journal={IFAC-PapersOnLine},
volume={59},
pages={2503--2508},
year={2025},
abstract={Realistic data is the crucial basis for the development and operation of artificial intelligence (AI) applications. In intralogistics many applications require realistic 3D representations of the material flow systems as a basis. Capturing real world 3D data or building synthetic 3D scenes by hand is costly. In order to generate realistic scenes, a reference dataset of realistic intralogistics...}}
