MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124188 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Dec. 9, 2025, for 'indoor navigation system for mobile devices using augmented reality and wi-fi round trip time (rtt) with ai-driven adaptive rf scene fingerprinting.'

Inventor(s) include Dr. A. Christy Jeba Malar; Ms. T. Sangeetha; Ms. P. Dhivya; Ms. S. Madumidha; Ms. S. Saranya; and Sheemona Joseph C.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "The invention discloses an indoor navigation system for mobile devices that integrates Wi-Fi Round Trip Time (RTT) localization, Augmented Reality (AR) visualization, sensor fusion, and a novel AI-driven adaptive RF scene fingerprinting module. Wi-Fi RTT measurements from IEEE 802.11mc-compliant access points are fused with AR-based scene mapping and inertial sensor data to provide accurate and robust indoor positioning. The AI-driven module continuously correlates AR-detected environmental features with real-time RTT deviations, generating a self-updating RF fingerprint model that mitigates non-line-of-sight errors, multipath interference, and device variability without manual calibration. The system overlays dynamic AR navigation cues-including arrows, paths, and points of interest-directly onto the user's camera view, enabling intuitive guidance across complex indoor spaces. The invention supports multi-floor navigation, adaptive recalibration, and scalable deployment using existing Wi-Fi infrastructure, offering a precise, resilient, and user-friendly indoor navigation solution."

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