A systematic review of application development in augmented reality navigation research

Cheliotis, Kostas; Liarokapis, Fotis; Kokla, Margarita; Tomai, Eleni; Pastra, Katerina; Anastopoulou, Niki; Bezerianou, Maria; Darra, Athanasia; Kavouras, Marinos

doi:10.1080/15230406.2023.2194032

Cited by 9 publications

(1 citation statement)

References 117 publications

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“…According to Cheliotis et al's survey [18], AR has been explored as a method of spatial navigation, both indoors and outdoors, over the past two decades. Research interest has risen significantly since 2010, as the ubiquity of smartphones and similar handheld devices has lowered the technical knowledge threshold for AR application development.…”

Section: Related Work 21 Indoor Ar Navigation Technologiesmentioning

confidence: 99%

Indoor AR Navigation Framework Based on Geofencing and Image-Tracking with Accumulated Error Correction

Lu,

Arikawa,

Oba

et al. 2024

Applied Sciences

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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.

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Section: Related Work 21 Indoor Ar Navigation Technologiesmentioning

confidence: 99%