Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications
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 c...
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| Format: | Article |
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MDPI AG
2020-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/4/1021 |
| _version_ | 1798039848932605952 |
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| author | Patrick Hübner Kate Clintworth Qingyi Liu Martin Weinmann Sven Wursthorn |
| author_facet | Patrick Hübner Kate Clintworth Qingyi Liu Martin Weinmann Sven Wursthorn |
| author_sort | Patrick Hübner |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T21:59:21Z |
| format | Article |
| id | doaj.art-3e6812f145514a979bdea55d128ae9be |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:59:21Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3e6812f145514a979bdea55d128ae9be2022-12-22T04:01:00ZengMDPI AGSensors1424-82202020-02-01204102110.3390/s20041021s20041021Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping ApplicationsPatrick Hübner0Kate Clintworth1Qingyi Liu2Martin Weinmann3Sven Wursthorn4Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, GermanyInstitute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, GermanyInstitute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, GermanyInstitute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, GermanyInstitute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76128 Karlsruhe, GermanyThe 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.https://www.mdpi.com/1424-8220/20/4/1021indoor mappingaugmented realityhololenstime-of-flight cameradepth cameratracking |
| spellingShingle | Patrick Hübner Kate Clintworth Qingyi Liu Martin Weinmann Sven Wursthorn Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications Sensors indoor mapping augmented reality hololens time-of-flight camera depth camera tracking |
| title | Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications |
| title_full | Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications |
| title_fullStr | Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications |
| title_full_unstemmed | Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications |
| title_short | Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications |
| title_sort | evaluation of hololens tracking and depth sensing for indoor mapping applications |
| topic | indoor mapping augmented reality hololens time-of-flight camera depth camera tracking |
| url | https://www.mdpi.com/1424-8220/20/4/1021 |
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