Abstract:
Indoor positioning systems have proliferated due to commercial interest in indoor localization services. Localization is limited by system requirements like site survey, user intervention, or specific hardware/software, despite extensive research.
PYLON, an indoor path estimation and localization system that runs on a smartphone and server without human intervention, overcomes these limitations. PYLON estimates user path using an actual floor plan and measurements from widely deployed WiFi access points (APs) and Bluetooth Low Energy (BLE) beacons.
It matches real-world rooms to virtual rooms based on RSSI values. PYLON refines user paths using door passing times after room mapping.
PYLON is device-independent, unlike other path estimation and localization systems. Three office workers evaluate PYLON on five Android smartphones. Our experiments show that PYLON maps floor plans with 97 percent accuracy and a 1.42 m localization error.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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