Bräuer-Burchardt, Christian; Munkelt, Christoph; Bleier, Michael; Baumann, Anja; Heinze, Matthias; Gebhart, Ingo; Kühmstedt, Peter; Notni, Gunther:
Deepwater 3D measurements with a novel sensor system
In: Applied sciences : open access journal, Vol. 14 (2024), No. 2, pp. 1 - 17, Article 557
2024Journal article in JournalOA Gold
Technische Universität Ilmenau (1992-) » Department of Mechanical Engineering (1992-) » Without Institute Allocation (1992-) » Fachgebiet Qualitätssicherung und Industrielle Bildverarbeitung (2015-)
Title in English:
Deepwater 3D measurements with a novel sensor system
Author:
Bräuer-Burchardt, Christian
GND
123004586
SCOPUS
56020288800
Other
corresponding author
;
Munkelt, Christoph
GND
1017823626
SCOPUS
9844059900
;
Bleier, Michael
GND
1313178330
SCOPUS
54956951700
;
Baumann, Anja
SCOPUS
59076050700
;
Heinze, Matthias
GND
1272182851
SCOPUS
9844935300
;
Gebhart, Ingo
GND
1272183297
SCOPUS
57208740872
;
Kühmstedt, Peter
GND
129048909
SCOPUS
6602230599
;
Notni, GuntherTU
GND
172636973
ORCID
0000-0001-7532-1560ORCID iD
SCOPUS
57225127198
SCOPUS
7004204934
Other
connected with university
Year of publication:
2024
Open-Access-Way of publication:
OA Gold
Scopus ID
PPN:
Language of text:
English
Keyword, Topic:
3D model generation ; deepwater ; motion compensation ; structured illumination ; underwater 3D sensor system ; visual odometry
Media:
online resources
Type of resource:
Text
Licence type:
CC BY 4.0
Access Rights:
open access
Peer Reviewed:
Yes
Part of statistic:
Yes

Abstract in English:

A novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor system enables high-resolution 3D capture at a measuring volume of approximately 1 m3, as well as the simultaneous capture of color data using active stereo scanning with structured lighting, producing highly accurate and detailed 3D images for close-range inspection. Furthermore, the system uses visual inertial odometry to map the seafloor and create a rough 3D overall model of the environment via Simultaneous Localization and Mapping (SLAM). For this reason, the system is also suitable for geological, biological, or archaeological applications in underwater areas. This article describes the overall system and data processing, as well as initial results regarding the measurement accuracy and applicability from tests of the sensor system in a water basin and offshore with a Remotely Operating Vehicle (ROV) in the Baltic Sea.