A survey of machine learning techniques for indoor localization and navigation systems

P Roy, C Chowdhury - Journal of Intelligent & Robotic Systems, 2021 - Springer
In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

A state-of-the-art survey of indoor positioning and navigation systems and technologies

W Sakpere, M Adeyeye-Oshin… - South African Computer …, 2017 - journals.co.za
The research and use of positioning and navigation technologies outdoors has seen a
steady and exponential growth. Based on this success, there have been attempts to …

Acoustic sensors for air and surface navigation applications

R Kapoor, S Ramasamy, A Gardi, RV Schyndel… - Sensors, 2018 - mdpi.com
This paper presents the state-of-the-art and reviews the state-of-research of acoustic
sensors used for a variety of navigation and guidance applications on air and surface …

An RFID Indoor Positioning Algorithm Based on Bayesian Probability and K-Nearest Neighbor

H Xu, Y Ding, P Li, R Wang, Y Li - Sensors, 2017 - mdpi.com
The Global Positioning System (GPS) is widely used in outdoor environmental positioning.
However, GPS cannot support indoor positioning because there is no signal for positioning …

A comparative study on machine learning algorithms for indoor positioning

S Bozkurt, G Elibol, S Gunal… - … on Innovations in …, 2015 - ieeexplore.ieee.org
Fingerprinting based positioning is commonly used for indoor positioning. In this method,
initially a radio map is created using Received Signal Strength (RSS) values that are …

Paving the way with machine learning for seamless indoor–outdoor positioning: A survey

M Mallik, AK Panja, C Chowdhury - Information Fusion, 2023 - Elsevier
Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …

Pilot: High-precision indoor localization for autonomous drones

A Famili, A Stavrou, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In many scenarios, unmanned aerial vehicles (UAVs), aka drones, need to have the
capability of autonomous flight to carry out their missions successfully. In order to fly …

Factors affecting the synthesis of autonomous sensors with RFID interface

M Węglarski, P Jankowski-Mihułowicz - Sensors, 2019 - mdpi.com
A general view on the problem of designing atypical battery-free, autonomous semi-passive
RFID transponders-sensors (autonomous sensors with RFID interfaces) is presented in this …

Robust time-difference-of-arrival (TDOA) localization using weighted least squares with cone tangent plane constraint

B Jin, X Xu, T Zhang - Sensors, 2018 - mdpi.com
Finding the position of a radiative source based on time-difference-of-arrival (TDOA)
measurements from spatially separated receivers has been widely applied in sonar, radar …

Highly accurate time-of-flight measurement technique based on phase-correlation for ultrasonic ranging

MO Khyam, SS Ge, X Li, MR Pickering - IEEE sensors journal, 2016 - ieeexplore.ieee.org
Ultrasonic-based distance measurements using time-of-flight (TOF) is a fundamental
technique for different applications across a wide variety of fields. In general, cross …