Wireless indoor positioning systems (IPS) are ever-growing as traditional global positioning
systems (GPS) are ineffective due to non-line-of-sight (NLoS) signal propagation. In this …

Indoor localization schemes have significant potential for use in location-based services in
areas such as smart factories, mixed reality, and indoor navigation. In particular, received …

Recently, the research of WiFi-based indoor localization combing with deep-learning
techniques has earned wide attention due to its potential applications in smart cities. In this …

This paper deals with an indoor positioning via deep learning techniques based on the
received signal strength indication (RSSI) of Bluetooth low energy (BLE) beacon signals. In …

Bluetooth low energy (BLE)-based indoor localization has attracted increasing interests for
its low-cost, low-power consumption, and ubiquitous availability in mobile devices. In this …

Numerous applications require indoor localisation, and one of the current research areas is
how to leverage low‐cost ubiquitous signals for indoor localisation. This research designs a …

With the rapidly growing interest for indoor location-based services (LBSs), a number of
localization techniques have been developed especially for 3D environment. While high …

Indoor positioning is a core enabler for various 5G identity and context-aware applications
requiring precise and real-time simultaneous localisation and mapping (SLAM). In this work …

In this paper, we present a novel Deep Neural Network-based indoor localization method
that estimates the position of a Bluetooth Low Energy (BLE) transmitter (tag) by using the …

With the rapid development and wide deployment of fifth-generation (5G) and Wi-Fi
technologies, indoor positioning has entered a new era. Particularly, the salient properties of …