Stereo vision and LiDAR based point cloud acquisition for creating digital twins in indoor applications

We present an approach towards a data acquisition system for digital twins that uses a 5G net- work for data transmission and localization. The current hardware setup, which utilizes stereo vision and LiDAR for 3D mapping, is explained together with two recorded point cloud data sets. Furthermore, a resulting digital twin comprised of voxelized point cloud data is shown. Ideas for future applications and challenges regarding the system are discussed and an outlook on further development is given.

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Metadaten
Author:	Alexander Kuzminykh, Jerome Rohde, Phillip Oliver Gottschewski-Meyer ORCiD, Volker Ahlers ORCiD GND
URN:	urn:nbn:de:bsz:960-opus4-30250
DOI:	https://doi.org/10.25968/opus-3025
DOI original:	https://doi.org/10.1109/IDAACS58523.2023.10348709
ISBN:	979-8-3503-5805-6
ISSN:	2770-4254
Parent Title (English):	2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Publisher:	IEEE
Document Type:	Conference Proceeding
Language:	English
Year of Completion:	2023
Publishing Institution:	Hochschule Hannover
Release Date:	2024/01/04
Tag:	3d mapping; digital twins; lidar; point clouds; stereo vision
First Page:	947
Last Page:	952
Link to catalogue:	1880294893
Institutes:	Fakultät IV - Wirtschaft und Informatik
DDC classes:	004 Informatik
Licence (German):	Urheberrechtlich geschützt

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