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The goal of this project is to improve interior navigation by creating an augmented reality (AR) indoor navigation system. The system combines real-time data from cameras and inertial sensors with computer vision and sensor fusion to deliver precise position tracking. Interactive augmented reality overlays with waypoints, navigation aids, and sites of interest are among the features. Algorithms for machine learning improve localization and mapping precision, guaranteeing the best possible user experience. The solution allows for smooth interaction with AR glasses and mobile devices.
Divya et al. (Thu,) studied this question.