MĂLUȚAN RaulBRISC Bianca2025-04-212023-12-121221 – 6542https://oasis.utcluj.app/handle/123456789/687Distance estimation in indoor localization is mainly solved by Received Signal Strength Indicator (RSSI). In our approach, the RSSI is determined empirically, and it’s used to estimate the distance between the user and beacons in a mobile app solution. Trilateration and Kalman filter help obtain better accuracy. The paper proposes a classical solution for indoor localization, but with features like blueprint implementation, Google Maps integration, and manual beacon positioning.enlocalizationBluetooth low energytrilaterationbeacondataset