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 …

Wi-Fi RTT/encoder/INS-based robot indoor localization using smartphones

B Zhou, Z Wu, Z Chen, X Liu, Q Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of robotics, miniaturized and inexpensive robots have gradually
entered the public's field of vision. Smartphone-based robots have the potential to provide …

Inertial navigation meets deep learning: A survey of current trends and future directions

N Cohen, I Klein - arXiv preprint arXiv:2307.00014, 2023 - arxiv.org
Inertial sensing is used in many applications and platforms, ranging from day-to-day devices
such as smartphones to very complex ones such as autonomous vehicles. In recent years …

An adaptive integrated positioning method for urban vehicles based on multi-task heterogeneous deep learning during GNSS outages

J Cheng, Y Gao, J Wu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The global navigation satellite system (GNSS)/inertial navigation system (INS) integrated
system is widely used in the field of urban vehicle position and navigation due to its low cost …

[HTML][HTML] Accurate and efficient floor localization with scalable spiking graph neural networks

F Gu, F Guo, F Yu, X Long, C Chen, K Liu, X Hu… - Satellite …, 2024 - Springer
Floor localization is crucial for various applications such as emergency response and
rescue, indoor positioning, and recommender systems. The existing floor localization …

Online Path Description Learning based on IMU Signals from IoT Devices

W Zhuo, S Li, T He, M Liu, SHG Chan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A user's movement path can be precisely and concisely described as a concatenation of
straight lines having the user's turns as their end points. Learning such a path description or …

Building Visual Maps from Two-Camera Views for Intelligent Vehicle Localization in Underground Parking Lots

G Huang, N Xu, L Lu, Z Ping… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Robust and reliable localization is important for intelligent vehicles, especially in GPS-blind
areas, such as underground parking lots. A novel localization frame by building two-layer …

Activity Semantics-based Indoor Localization using Smartphones

B Zhou, P Wu, X Zhang, D Zhang, Q Li - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This article presents an activity semantics-based indoor localization approach using
smartphones. The activities of pedestrians consist of several continuous activities during the …

FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks

Y Etiabi, W Njima, EM Amhoud - arXiv preprint arXiv:2405.11079, 2024 - arxiv.org
The rapid growth of the Internet of Things fosters collaboration among connected devices for
tasks like indoor localization. However, existing indoor localization solutions struggle with …

Indoor localization using device sensors: A threat to privacy

H Verma, S Naval, BR Killi, P Vinod - Microprocessors and Microsystems, 2024 - Elsevier
The localization techniques used in today's smartphone are mainly based on Global
Positioning System (GPS). However, GPS Sensors cannot work properly under in-door and …