Abstract
As a method of integrating the real-world environment with digital content in real time, AR-based indoor navigation systems can provide users with a more intuitive experience than conventional navigation systems. Many researchers have proposed various solutions for designing indoor augmented reality navigation (ARN) systems, such as marker-based, view-based, and beacon-based ARN systems, to estimate the users’ location and orientation in an indoor environment. However, most indoor ARN research has focused on finding effective AR navigation solutions for single-floor scenarios. In addition, many proposed multi-floor navigation systems are costly to implement and maintain. In this research, we design and implement a practical markerless indoor ARN system that supports multi-floor navigation based on a hybrid approach combining view-based and Bluetooth-based methods used in related ARN system research. Our proposed system is specialized to conduct multi-floor navigation in indoor environments, such as school buildings, office buildings, and hotels, that have many narrow corridors. In addition, the proposed system can operate on both iOS and Android devices that support Bluetooth Low Energy beacons (BLE beacons) and ARKit/ARCore. Our aim is to provide a low-cost and low-maintenance solution for AR-based indoor multi-floor navigation with mobile devices.
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Acknowledgement
This work was supported by JSPS KAKENHI Grant Number JP21H03429 and JP22H03587, the JGC-S Scholarship Foundation, and JSPS Bilateral Joint Research Project (JPJSBP120229932).
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Gotoh, Y., Wang, H. (2023). AR-Based Indoor Navigation: Hybrid Approach to Multi-floor Navigation. In: Barolli, L. (eds) Advances in Networked-based Information Systems. NBiS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-031-40978-3_23
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DOI: https://doi.org/10.1007/978-3-031-40978-3_23
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