Deep learning for inertial positioning: A survey

C Chen, X Pan - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …

Recent advances in pedestrian inertial navigation based on smartphone: A review

Q Wang, M Fu, J Wang, H Luo, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …

A survey on deep learning for localization and mapping: Towards the age of spatial machine intelligence

C Chen, B Wang, CX Lu, N Trigoni… - arXiv preprint arXiv …, 2020 - arxiv.org
Deep learning based localization and mapping has recently attracted significant attention.
Instead of creating hand-designed algorithms through exploitation of physical models or …

Heart rate sensing with a robot mounted mmwave radar

P Zhao, CX Lu, B Wang, C Chen, L Xie… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Heart rate monitoring at home is a useful metric for assessing health eg of the elderly or
patients in post-operative recovery. Although non-contact heart rate monitoring has been …

On indoor localization using WiFi, BLE, UWB, and IMU technologies

SG Leitch, QZ Ahmed, WB Abbas, M Hafeez… - Sensors, 2023 - mdpi.com
Indoor localization is a key research area and has been stated as a major goal for Sixth
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …

Tightly coupled integration of pedestrian dead reckoning and Bluetooth based on filter and optimizer

X Wang, Y Zhuang, Z Zhang, X Cao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
As a critical topic of Internet of Things applications, smartphone-based indoor navigation has
a rapidly growing need in various applications. However, indoor navigation technology is …

Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review

AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

Inertial sensors—Applications and challenges in a nutshell

T Seel, M Kok, RS McGinnis - Sensors, 2020 - mdpi.com
This editorial provides a concise introduction to the methods and applications of inertial
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …

A review of small UAV navigation system based on multi-source sensor fusion

X Ye, F Song, Z Zhang, Q Zeng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In recent years, unmanned aircraft systems (UASs) have played an increasingly significant
role in the military and civil fields. The flight control system, as the “hub” of an unmanned …

A deep learning approach for foot trajectory estimation in gait analysis using inertial sensors

V Guimarães, I Sousa, MV Correia - Sensors, 2021 - mdpi.com
Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …