Indoor intelligent fingerprint-based localization: Principles, approaches and challenges

X Zhu, W Qu, T Qiu, L Zhao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …

Magnetic field-based positioning systems

V Pasku, A De Angelis, G De Angelis… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
This paper provides an introductory survey on the various systems that exploit magnetic
fields for positioning. Such systems find applications in those scenarios, both indoors and …

A survey of magnetic-field-based indoor localization

G Ouyang, K Abed-Meraim - Electronics, 2022 - mdpi.com
Magnetic fields have attracted considerable attention in indoor localization due to their
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …

[HTML][HTML] A real-time fingerprint-based indoor positioning using deep learning and preceding states

M Nabati, SA Ghorashi - Expert Systems with Applications, 2023 - Elsevier
In fingerprint-based positioning methods, the received signal strength (RSS) vectors from
access points are measured at reference points and saved in a database. Then, this dataset …

UWB/INS integrated pedestrian positioning for robust indoor environments

Y Zhang, X Tan, C Zhao - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Goal: Accurate robust ultra wideband (UWB) pedestrian indoor positioning becomes a
challenging task when faced with robust indoor environments such as non-line of sight …

Pedestrian stride-length estimation based on LSTM and denoising autoencoders

Q Wang, L Ye, H Luo, A Men, F Zhao, Y Huang - Sensors, 2019 - mdpi.com
Accurate stride-length estimation is a fundamental component in numerous applications,
such as pedestrian dead reckoning, gait analysis, and human activity recognition. The …

[PDF][PDF] 融合深度学习与粒子滤波的移动机器人重定位方法

杨傲雷, 金宏宙, 陈灵, 费敏锐 - 仪器仪表学报, 2021 - jemi.cnjournals.com
为有效解决移动机器人重定位问题, 提出一种融合深度学习和粒子滤波的机器人重定位方法.
首先, 提出了3 自由度移动机器人重定位方法架构, 主要包含重定位模型构建和机器人在线重 …

Smartphone-based indoor localization techniques: State-of-the-art and classification

NM Tiglao, M Alipio, RD Cruz, F Bokhari, S Rauf… - Measurement, 2021 - Elsevier
Smartphone is now undeniably essential and a very functional tool for everyone. As the
need for more powerful computations, faster communications, and more sophisticated …

Smartphone-based indoor localization systems: A systematic literature review

RS Naser, MC Lam, F Qamar, BB Zaidan - Electronics, 2023 - mdpi.com
These recent years have witnessed the importance of indoor localization and tracking as
people are spending more time indoors, which facilitates determining the location of an …

A robust dead reckoning algorithm based on Wi-Fi FTM and multiple sensors

Y Yu, R Chen, L Chen, G Guo, F Ye, Z Liu - Remote Sensing, 2019 - mdpi.com
More and more applications of location-based services lead to the development of indoor
positioning technology. Wi-Fi-based indoor localization has been attractive due to its …