Making Historical Gyroscopes Alive-2D and 3D Preservations by Sensor Fusion and Open Data Access.

computed tomography computer vision convolutional neural networks data fusion dense image matching digital twin endoscopy history of technology inertial sensors navigation instruments photogrammetry sensor fusion structure-from-motion

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
01 Feb 2021
Historique:
received: 07 12 2020
revised: 23 01 2021
accepted: 25 01 2021
entrez: 4 2 2021
pubmed: 5 2 2021
medline: 5 2 2021
Statut: epublish

Résumé

The preservation of cultural heritage assets of all kind is an important task for modern civilizations. This also includes tools and instruments that have been used in the previous decades and centuries. Along with the industrial revolution 200 years ago, mechanical and electrical technologies emerged, together with optical instruments. In the meantime, it is not only museums who showcase these developments, but also companies, universities, and private institutions. Gyroscopes are fascinating instruments with a history dating back 200 years. When J.G.F. Bohnenberger presented his machine to his students in 1810 at the University of Tuebingen, Germany, nobody could have foreseen that this fascinating development would be used for complex orientation and positioning. At the University of Stuttgart, Germany, a collection of 160 exhibits is available and in transition towards their sustainable future. Here, the systems are digitized in 2D, 2.5D, and 3D and are made available for a worldwide community using open access platforms. The technologies being used are computed tomography, computer vision, endoscopy, and photogrammetry. We present a novel workflow for combining voxel representations and colored point clouds, to create digital twins of the physical objects with 0.1 mm precision. This has not yet been investigated and is therefore pioneering work. Advantages and disadvantages are discussed and suggested work for the near future is outlined in this new and challenging field of tech heritage digitization.

Identifiants

pubmed: 33535460
pii: s21030957
doi: 10.3390/s21030957
pmc: PMC7867114
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : BMBF Federal Ministry of Education and Research
ID : 01UG1774X

Références

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Auteurs

Dieter Fritsch (D)

Institute for Photogrammetry, University of Stuttgart, 70174 Stuttgart, Germany.

Jörg F Wagner (JF)

Chair of Adaptive Structures in Aerospace Engineering, University of Stuttgart, 70569 Stuttgart, Germany.

Beate Ceranski (B)

Institute of History, University of Stuttgart, 70174 Stuttgart, Germany.

Sven Simon (S)

Institute of Parallel and Distributed Systems, University of Stuttgart, 70569 Stuttgart, Germany.

Maria Niklaus (M)

Institute of History, University of Stuttgart, 70174 Stuttgart, Germany.

Kun Zhan (K)

Chair of Adaptive Structures in Aerospace Engineering, University of Stuttgart, 70569 Stuttgart, Germany.

Gasim Mammadov (G)

Institute of Parallel and Distributed Systems, University of Stuttgart, 70569 Stuttgart, Germany.

Classifications MeSH