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Efficient Indoor Mapping with HoloLens 2

Published: 03 June 2024 Publication History

Abstract

Indoor navigation systems for pedestrians require floor plans of buildings. Acquiring them is costly and time-consuming, as the standard procedure is to digitise 2D blueprints and augment them with information required for navigating users. In this demo, as an alternative, we use the Holo Lens 2 to construct floor plans on site. We illustrate how to construct plans that are as accurate as digitised blueprints, but much more efficient to acquire and easier to augment with information about the physical environment that is impossible to obtain from blueprints.

Supplemental Material

MP4 File
Video presentation of the indoor mapping process using Holo Lens 2

References

[1]
Xinyun Fan, Anqi Zhu, and Lvwen Huang. 2017. Noncontact measurement of indoor objects with 3D laser camera-based. In 2017 IEEE International Conference on Information and Automation (ICIA). IEEE, 386–391.
[2]
Hao Fang, Florent Lafarge, Cihui Pan, and Hui Huang. 2021. Floorplan generation from 3D point clouds: A space partitioning approach. Isprs Journal of Photogrammetry and Remote Sensing 175 (2021), 44–55.
[3]
Niklas Gard and Aleixo Cambeiro Barreiro. 2023. Towards automated digital building model generation from floorplans and on-site images. 34. ForumBauinformatik (2023).
[4]
Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver Van Kaick, Hao Zhang, and Hui Huang. 2020. Graph2plan: Learning floorplan generation from layout graphs. ACM Transactions on Graphics (TOG) 39, 4 (2020), 118–1.
[5]
Patrick Hübner, Kate Clintworth, Qingyi Liu, Martin Weinmann, and Sven Wursthorn. 2020. Evaluation of HoloLens tracking and depth sensing for indoor mapping applications. Sensors 20, 4 (2020), 1021.
[6]
Bernd Ludwig, Gregor Donabauer, Dominik Ramsauer, and Karema al Subari. 2023. URWalking: Indoor Navigation for Research and Daily Use. KI - Künstliche Intelligenz 37, 1 (2023), 83–90. https://doi.org/10.1007/s13218-022-00795-1
[7]
Maximilian Rosilius, Markus Wilhelm, Ingo von Eitzen, Steffen Decker, Sebastian Damek, and Volker Braeutigam. 2022. Sustainable Solutions by the Use of Immersive Technologies for Repurposing Buildings. In Global Conference on Sustainable Manufacturing. Springer International Publishing Cham, 551–558.
[8]
Xiao-Yu Wang, Yin Yang, and Kang Zhang. 2018. Customization and generation of floor plans based on graph transformations. Automation in Construction 94 (2018), 405–416.
[9]
Martin Weinmann, Sven Wursthorn, Michael Weinmann, and Patrick Hübner. 2021. Efficient 3d mapping and modelling of indoor scenes with the microsoft hololens: A survey. PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 89, 4 (2021), 319–333.

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Information

Published In

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AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces
June 2024
578 pages
ISBN:9798400717642
DOI:10.1145/3656650
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 June 2024

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Author Tags

  1. Augmented Reality
  2. Holo Lens
  3. Indoor Navigation
  4. Map Generation

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  • Demonstration
  • Research
  • Refereed limited

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AVI 2024

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AVI '24 Paper Acceptance Rate 21 of 82 submissions, 26%;
Overall Acceptance Rate 128 of 490 submissions, 26%

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