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Efficient 3D Mapping and Modelling of Indoor Scenes with the Microsoft HoloLens: A Survey

Weinmann, Martin 1; Wursthorn, Sven 1; Weinmann, Michael; Hübner, Patrick 1
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)


The Microsoft HoloLens is a head-worn mobile augmented reality device. It allows a real-time 3D mapping of its direct environment and a self-localisation within the acquired 3D data. Both aspects are essential for robustly augmenting the local environment around the user with virtual contents and for the robust interaction of the user with virtual objects. Although not primarily designed as an indoor mapping device, the Microsoft HoloLens has a high potential for an efficient and comfortable mapping of both room-scale and building-scale indoor environments. In this paper, we provide a survey on the capabilities of the Microsoft HoloLens (Version 1) for the efficient 3D mapping and modelling of indoor scenes. More specifically, we focus on its capabilities regarding the localisation (in terms of pose estimation) within indoor environments and the spatial mapping of indoor environments. While the Microsoft HoloLens can certainly not compete in providing highly accurate 3D data like laser scanners, we demonstrate that the acquired data provides sufficient accuracy for a subsequent standard rule-based reconstruction of a semantically enriched and topologically correct model of an indoor scene from the acquired data. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000139203
Veröffentlicht am 20.10.2021
DOI: 10.1007/s41064-021-00163-y
Zitationen: 8
Web of Science
Zitationen: 6
Zitationen: 12
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2512-2789, 2512-2819
KITopen-ID: 1000139203
Erschienen in Journal of photogrammetry, remote sensing and geoinformation science
Verlag E Schweizerbart Science Publishers
Band 89
Seiten 319-333
Vorab online veröffentlicht am 19.10.2021
Schlagwörter Microsoft HoloLens, Indoor mapping, Localisation, Geometry acquisition, Scene modelling
Nachgewiesen in Scopus
Web of Science
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