,
pages 265-276
A Survey on Indoor Navigation Using Augmented Reality
Shantanu Ingole
1, 2
,
Sahil Narsale
1, 2
,
Divyanee Desale
1, 2
,
Snehal Rade
1, 2
,
Savita Adhav
1, 2
1
Department On Information Technology, Pune, India
|
2
JSPM’s Rajarshi Shahu College of Engineering, Pune, India
|
Publication type: Book Chapter
Publication date: 2024-12-29
SJR: —
CiteScore: —
Impact factor: —
ISSN: 23636084, 23636092
Abstract
In complicated contexts like shopping malls, airports, hospitals, and museums Indoor navigation seems extremely difficult. In such circumstances, conventional navigation methods mostly struggle to provide accurate and understandable guidance. It examines the most current-edge AR-based indoor navigation systems and discusses their essential characteristics, advantages, and disadvantages. It emphasizes how well-suited this system is to various interior environments. The survey also focuses on problems and unanswered concerns in the field of augmented reality-based indoor navigation. Accurate positioning and tracking, occlusion handling, scalability, user interface design, and real-time performance are some of these difficulties. Aspects of usability, user feedback, and user experience evaluation of AR-based indoor navigation systems are also covered in the paper. The survey also investigates the combination of augmented reality with complementing technologies including sensor fusion, machine learning, and computer vision to create more effective indoor navigation systems.
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Ingole S. et al. A Survey on Indoor Navigation Using Augmented Reality // Proceedings in Adaptation, Learning and Optimization. 2024. pp. 265-276.
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Ingole S., Narsale S., Desale D., Rade S., Adhav S. A Survey on Indoor Navigation Using Augmented Reality // Proceedings in Adaptation, Learning and Optimization. 2024. pp. 265-276.
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TY - GENERIC
DO - 10.1007/978-3-031-71391-0_22
UR - https://link.springer.com/10.1007/978-3-031-71391-0_22
TI - A Survey on Indoor Navigation Using Augmented Reality
T2 - Proceedings in Adaptation, Learning and Optimization
AU - Ingole, Shantanu
AU - Narsale, Sahil
AU - Desale, Divyanee
AU - Rade, Snehal
AU - Adhav, Savita
PY - 2024
DA - 2024/12/29
PB - Springer Nature
SP - 265-276
SN - 2363-6084
SN - 2363-6092
ER -
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BibTex (up to 50 authors)
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@incollection{2024_Ingole,
author = {Shantanu Ingole and Sahil Narsale and Divyanee Desale and Snehal Rade and Savita Adhav},
title = {A Survey on Indoor Navigation Using Augmented Reality},
publisher = {Springer Nature},
year = {2024},
pages = {265--276},
month = {dec}
}