Loading [a11y]/accessibility-menu.js
A deep learning and RSSI based approach for indoor positioning | IEEE Conference Publication | IEEE Xplore

A deep learning and RSSI based approach for indoor positioning


Abstract:

Indoor positioning and navigation systems are getting popular nowadays. There are different types of products in the way of accuracy, cost and power consumption in the fi...Show More

Abstract:

Indoor positioning and navigation systems are getting popular nowadays. There are different types of products in the way of accuracy, cost and power consumption in the field. Especially in the last couple of years, RSSI (Received Signal Strength Indicator) based positioning algorithms have studied but the results are not sufficient and there is no exact way decided to overcome this problem. In this paper, we will explain a method that combines Deep Learning and BLE (Bluetooth Low Energy) Fingerprinting method to get better accurate results.
Date of Conference: 02-05 May 2018
Date Added to IEEE Xplore: 09 July 2018
ISBN Information:
Conference Location: Izmir, Turkey