Information Fusion Research

AR Indoor Navigation

Ritesh SinghKushwaha

Department of Artificial Intelligence and Data Science Ajeenkya DY Patil School of Engineering Pune, India

Abhilash Civi

Department of Artificial Intelligence and Data Science Ajeenkya DY Patil School of Engineering Pune, India

Arman Inamdar

Department of Artificial Intelligence and Data Science Ajeenkya DY Patil School of Engineering Pune, India

Nilambari Patil

Department of Artificial Intelligence and Data Science Ajeenkya DY Patil School of Engineering Pune, India

Prof. RachanaChapte

Department of Artificial Intelligence and Data Science Ajeenkya DY Patil School ofEngineering Pune, India

DOI: https://doi.org/ifr.v2i2.6386

Keywords: Augmented reality (AR); Indoor navigation,Visual positioning system (VPS) ; Simultaneous localization and mapping (SLAM) ; Beacons, QRcode; Visual Markers; Indoor mapping; Wayfinding; Navigation Assistance; Context-aware navigation

---

Abstract

This paper presents the development and evaluation of an Indoor Navigation Application leveraging Augmented Reality (AR) technology to provide accurate and intuitive navigation within complex indoor environments. The primary objective is to enhance user experience by integrating ARCore, NavMesh, and the A* algorithm to ensure precise localization and efficient pathfinding. The methodology involves creating a comprehensive 3D model of the building using Blender, with QR codes strategically placed throughout the structure to facilitate accurate user localization. Upon scanning a QR code, the system activates the user's camera and employs ARCore for simultaneous localization and mapping (SLAM), aligning the user's position with the 3D model. Real-time navigation is then provided through AR overlays, guiding users along the optimal path determined by the A* algorithm. The evaluation metrics focus on accuracy, usability, efficiency, reliability, and scalability. The system demonstrates high accuracy in positioning, minimal latency in pathfinding, and consistent performance across diverse indoor environments. User feedback indicates a high level of usability, with intuitive interactions and clear visual cues. The modular design of the system ensures scalability and adaptability to various building configurations. In conclusion, the AR indoor navigation system offers a robust solution for indoor navigation, with potential applications in commercial complexes, educational institutions, and healthcare facilities. Future work will focus on enhancing accuracy, optimizing user experience, and integrating advanced AR features and IoT devices.

---

References

1.Satan, A. (2018, May). Bluetooth-based indoor navigation mobile system. In 2018 19th International Carpathian Control Conference (ICCC) (pp. 332-337). IEEE.

2.Yadav, R., Chugh, H., Jain, V., & Baneriee, P. (2018, October). Indoor Navigation System Using Visual Positioning System with Augmented Reality. In 2018 International Conference on Automation and Computational Engineering (ICACE) (pp. 52-56). IEEE.

3.Mamaeva, D., Afanasev, M., Bakshaev, V., & Kliachin, M. (2019, November). A multifunctional method of QR code used during the process of indoor navigation. In 2019 International Conference on Engineering and Telecommunication (EnT) (pp. 1-4). IEEE.

4.Hashimoto, R., & Cohen, M. (2021). Outdoor Navigation System by AR. In SHS Web of Conferences (Vol. 102, p. 04002). EDP Sciences.

5.Li, Z. (2021). Learning Geometry, Appearance and Motion in the Wild (Doctoral dissertation, Cornell University).O. Köroğlu, "En Yaygın Yeni İletişim Ortamı Mobil İletişim Ortamında İçerik ve Yayıncılık",

6.Harter, A., & Hopper, A. (1994). A Distributed Location System for the Active Office. IEEE Network, January, 36-44.

7.Köroğlu, O. (2010). En Yaygın Yeni İletişim Ortamı Mobil İletişim Ortamında İçerik ve Yayıncılık. Civilacademy Journal of Social Sciences, 8(2), 55-86.

8.Tóth, Z., & Tamás, J. (2016). Miskolc iis hybrid ips: Dataset for hybrid indoor positioning. In Radio elektronika (RADIOELEKTRONIKA), 2016 26th International Conference (pp. 408-412). IEEE.

9.Li, Y.-Y., Chiu, P.-H., Yeh, S.-C., & Zhou, C. (2017). Effects of Virtual Reality and Augmented Reality on Induced Anxiety. 2017 5th International Conference on Enterprise Systems (ES).

10.Verma, S., Omanwar, R., Sreejith, V., & Meera, G. S. (2016). A smartphone based indoor navigation system. 2016 28th International Conference on Microelectronics (ICM).

11.Ozdenizci, B., Coskun, V., & Ok, K. (2015). Nfc internal: An indoor navigation system. Sensors, 15(4), 7571-7595.

12.Bin Abdul Malek, M. F., Sebastian, P., & Drieberg, M. (2017). Augmented reality assisted localization for indoor navigation on embedded computing platform. 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

13.Chung, J., Donahoe, M., Schmandt, C., Kim, I.-J., Razavai, P., & Wiseman, M. (2011). Indoor location sensing using geomagnetism. In MobiSys '11 Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services.

14.Tóth, Z. (2016). Ilona: indoor localization and navigation system. Journal of Location Based Services, 10(4), 285-302.

15.Serra, A., Carboni, D., & Marotto, V. (2010). Indoor Pedestrian Navigation System Using a Modern Smartphone. In Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services (pp. 397-398).