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Computer Graphics International Conference

CGI 2022: Advances in Computer Graphics pp 145–156Cite as

Visual Indoor Navigation Using Mobile Augmented Reality

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13443))

Abstract

Navigation in complex indoor environments is often difficult, and many of the current navigation applications on the market are not yet mature enough for indoor use. To address this issue, this project developed an application based on Unity's ARCore extension for AR Foundation and Google Cloud Anchor Service, combined with the real-time database, to identify, record the location of key points indoors, and to provide self-localization, path planning and navigation functions for users. The application is divided into two sections: Administrator and User. In the administrator interface, the device camera scans the environment to record the posture of key points and the characteristics of the area where they are located, generates anchor points, and uploads them to the cloud platform database. In the user interface, the user can choose to download the data, after which the environmental features scanned by the camera will be matched with the anchor point features in the database, and the anchor point in the current environment will be identified and displayed on the screen for the purpose of self-localization, after the user selects the destination, the path planning algorithm will be invoked and the planned navigation route will be displayed on the screen.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grants 62272298, 61872241 and 62077037, in part by Shanghai Municipal Science and Technology Major Project under Grant 2021SHZDZX0102.

Author information

Authors and Affiliations

  1. Southeast University, Nanjing, China

    Han Zhang

  2. School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, China

    Mengsi Guo, Wenqing Zhao, Jin Huang & Liu Sen

  3. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

    Ziyao Meng & Bin Sheng

  4. State Key Laboratory of Mobile Network and Mobile Multimedia Technology, ZTE Corporation, Shenzhen, China

    Ping Lu

Authors
  1. Han Zhang
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  2. Mengsi Guo
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  3. Wenqing Zhao
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  4. Jin Huang
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  5. Ziyao Meng
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  6. Ping Lu
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  7. Liu Sen
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  8. Bin Sheng
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Corresponding author

Correspondence to Bin Sheng .

Editor information

Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Nadia Magnenat-Thalmann

  2. Bournemouth University, Poole, UK

    Jian Zhang

  3. University of Sydney, Sydney, NSW, Australia

    Jinman Kim

  4. University of Crete, Heraklion, Greece

    George Papagiannakis

  5. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  6. Swiss Federal Institute of Technology, Lausanne, Switzerland

    Daniel Thalmann

  7. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

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Cite this paper

Zhang, H. et al. (2022). Visual Indoor Navigation Using Mobile Augmented Reality. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2022. Lecture Notes in Computer Science, vol 13443. Springer, Cham. https://doi.org/10.1007/978-3-031-23473-6_12

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  • DOI: https://doi.org/10.1007/978-3-031-23473-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23472-9

  • Online ISBN: 978-3-031-23473-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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