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Conference Paper
Enhancing Signal-Based Positioning Systems with Augmented Reality in Controlled Environments
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- Authors
- Jiwoo Han, Jaejun Yoo, Junhaeng Lee, Yangkoo Lee, Kyunghyun Park, Seonghun Seo, Yonghyun Kim, Daesub Yoon
- Issue Date
- 2025-02
- Citation
- International Conference on Advanced Communications Technology (ICACT) 2025, pp.339-342
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents an Augmented Reality (AR)enhanced approach to improving the accuracy and efficiency of signal-based indoor positioning systems, particularly in controlled environments such as laboratories, cleanrooms, and data centers. Traditional positioning systems face challenges related to manual fingerprint database creation, accuracy, and environmental variability. The proposed system automates the database creation process using AR for real-time distance measurement and visual reference capture, significantly reducing manual effort and errors. In the positioning phase, the system combines signal strength data with AR-based distance validation and visual reference comparisons to improve location accuracy. The integration of AR enhances the system's ability to provide more reliable positioning results in environments where conditions, such as lighting and surface textures, are stable. This paper outlines the architecture and key components of the system while future work will focus on empirical validation and optimization of the system for real-world applications.
- KSP Keywords
- Accuracy and efficiency, Augmented reality(AR), Data center, Distance measurement, Empirical validation, Environmental variability, Fingerprint database, Indoor positioning System, Key Components, Location accuracy, Real-time