Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications.

HoloLens augmented reality depth camera indoor mapping time-of-flight camera tracking

Journal

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

Informations de publication

Date de publication:
14 Feb 2020
Historique:
received: 15 01 2020
revised: 10 02 2020
accepted: 11 02 2020
entrez: 21 2 2020
pubmed: 23 2 2020
medline: 23 2 2020
Statut: epublish

Résumé

The Microsoft HoloLens is a head-worn mobile augmented reality device that is capable of mapping its direct environment in real-time as triangle meshes and localize itself within these three-dimensional meshes simultaneously. The device is equipped with a variety of sensors including four tracking cameras and a time-of-flight (ToF) range camera. Sensor images and their poses estimated by the built-in tracking system can be accessed by the user. This makes the HoloLens potentially interesting as an indoor mapping device. In this paper, we introduce the different sensors of the device and evaluate the complete system in respect of the task of mapping indoor environments. The overall quality of such a system depends mainly on the quality of the depth sensor together with its associated pose derived from the tracking system. For this purpose, we first evaluate the performance of the HoloLens depth sensor and its tracking system separately. Finally, we evaluate the overall system regarding its capability for mapping multi-room environments.

Identifiants

pubmed: 32074980
pii: s20041021
doi: 10.3390/s20041021
pmc: PMC7070293
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2012;12(2):1437-54
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Nurse Educ. 2017 Jan/Feb;42(1):14-17
pubmed: 27454054
Sensors (Basel). 2018 Mar 02;18(3):
pubmed: 29498715
Sensors (Basel). 2018 Sep 25;18(10):
pubmed: 30257505

Auteurs

Patrick Hübner (P)

Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, Germany.

Kate Clintworth (K)

Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, Germany.

Qingyi Liu (Q)

Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, Germany.

Martin Weinmann (M)

Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, Germany.

Sven Wursthorn (S)

Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, Germany.

Classifications MeSH