التفاصيل البيبلوغرافية
| العنوان: |
Indoor AR Navigation Framework Based on Geofencing and Image-Tracking with Accumulated Error Correction. |
| المؤلفون: |
Lu, Min, Arikawa, Masatoshi, Oba, Kohei, Ishikawa, Keiichi, Jin, Yuhan, Utsumi, Tomihiro, Sato, Ryo |
| المصدر: |
Applied Sciences (2076-3417); May2024, Vol. 14 Issue 10, p4262, 21p |
| مصطلحات موضوعية: |
MOBILE apps, COORDINATE transformations, NAVIGATION, SHOPPING malls, COLLEGE buildings, AUGMENTED reality, SOFTWARE architecture |
| مستخلص: |
Featured Application: Indoor AR guide for smartphones suitable for museums, libraries, university buildings, shopping malls, etc. This study presents a novel framework for improving indoor augmented reality (AR) navigation with modern smartphone technology, which is achieved by addressing two major challenges: managing large absolute coordinate spaces and reducing error accumulation in camera-based spatial tracking. Our contribution is significant in two ways. First, we integrate geofencing with indoor navigation by considering spatial tracking errors, timing for audio guidance, and dynamic 3D arrow visualization for effective local-to-global spatial coordinate transformation. This method achieves precise local positioning and seamlessly integrates with larger spatial contexts, overcoming the limitations of current AR systems. Second, we introduce a periodic image-based calibration approach to minimize the inherent error accumulation in camera-based tracking, enhancing accuracy over longer distances. Unlike prior studies focusing on individual technologies, our work explores the software architecture of indoor AR navigation by providing a comprehensive framework for its design and practical use. The practicality of our approach is validated through the implementation of a smartphone application at the Mineral Industry Museum of Akita University, highlighting the limitations of component technologies and demonstrating our framework's effectiveness. [ABSTRACT FROM AUTHOR] |
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