This paper is published in Volume-10, Issue-2, 2024
Area
Data Science
Author
Mahalakshmi Padam, Dr. Y. Md. Riyazuddin
Org/Univ
Gitam Deemed to Be University, Rudraram, Telangana, India
Pub. Date
13 April, 2024
Paper ID
V10I2-1138
Publisher
Keywords
Indoor Navigation, Indoor Localization, Erroneous Orientation, Heuristic, Image Recognition, Latency Reduction, Path Navigation, Augmented Reality,

Citationsacebook

IEEE
Mahalakshmi Padam, Dr. Y. Md. Riyazuddin. Indoor navigation using augmented reality, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mahalakshmi Padam, Dr. Y. Md. Riyazuddin (2024). Indoor navigation using augmented reality. International Journal of Advance Research, Ideas and Innovations in Technology, 10(2) www.IJARIIT.com.

MLA
Mahalakshmi Padam, Dr. Y. Md. Riyazuddin. "Indoor navigation using augmented reality." International Journal of Advance Research, Ideas and Innovations in Technology 10.2 (2024). www.IJARIIT.com.

Abstract

The majority of contemporary competitive commercial navigation programs rely on GPS-based navigation technology. However, it is the interior navigation performance is lower than that in an outdoor situation. Much of the research and development on indoor navigational systems entails the installation of additional equipment, which often comes with a substantial setup charge. A study and comparison were undertaken to identify the best indoor localization, pathfinding, and path navigation systems for an indoor navigation strategy. The goal of this project is to demonstrate a user-friendly and cost-effective indoor navigation system. The recommended solution combines augmented reality technology with the built-in sensors included in the majority of mobile devices to determine the user's location and give an immersive navigation experience. In this project, a smartphone app for indoor navigation was developed and tested. AR Core will use the predicted route to display AR guidance. Surveys were done to assess the methodology's effectiveness and gather input from participants. The method's architecture, an example, and applications are described.