Geolokační systém uvnitř budovy založený na technologii Bluetooth
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Vysoká škola báňská - Technická univerzita Ostrava
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The Master’s thesis deals with the problem of indoor geolocation.
The thesis describes ways how to use filters (Mean, Median, Kalman, Particle, and Artificial neural network) to increase accuracy of indoor geolocation. The thesis describes practical implementation of an indoor geolocation system based on Bluetooth Low Energy beacons, which are based on ESP32.
The thesis describes indoor mapping with Simple Indoor Tagging by OpenStreetMap and how to deal with pathfinding inside a mapped building.
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Bluetooth Low Energy, ESP32, android, geolocation, indoor, Android, Particle filter, artificial neural network, Kotlin, ReactiveX, pathfinding, Eddystone, beacon