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A Survey on Indoor Navigation Using Augmented Reality

  • Shantanu Ingole,
  • Sahil Narsale,
  • Divyanee Desale,
  • Snehal Rade,
  • Savita Adhav

摘要

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.