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 …

A survey of crowd evacuation on passenger ships: Recent advances and future challenges

K Liu, Y Ma, M Chen, K Wang, K Zheng - Ocean Engineering, 2022 - Elsevier
During ship emergencies, a reliable and efficient evacuation system is able to guide
passengers to the appropriate muster stations as quickly as possible. The majority of the …

Ionet: Learning to cure the curse of drift in inertial odometry

C Chen, X Lu, A Markham, N Trigoni - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Inertial sensors play a pivotal role in indoor localization, which in turn lays the foundation for
pervasive personal applications. However, low-cost inertial sensors, as commonly found in …

Limu-bert: Unleashing the potential of unlabeled data for imu sensing applications

H Xu, P Zhou, R Tan, M Li, G Shen - … of the 19th ACM Conference on …, 2021 - dl.acm.org
Deep learning greatly empowers Inertial Measurement Unit (IMU) sensors for various mobile
sensing applications, including human activity recognition, human-computer interaction …

LiFS: Low human-effort, device-free localization with fine-grained subcarrier information

J Wang, H Jiang, J **ong, K Jamieson, X Chen… - Proceedings of the …, 2016 - dl.acm.org
Device-free localization of people and objects indoors not equipped with radios is playing a
critical role in many emerging applications. This paper presents an accurate model-based …

Gradient-based fingerprinting for indoor localization and tracking

Y Shu, Y Huang, J Zhang, P Coué… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Of the different branches of indoor localization research, WiFi fingerprinting has drawn
significant attention over the past decade. These localization systems function by comparing …

On designing data quality-aware truth estimation and surplus sharing method for mobile crowdsensing

S Yang, F Wu, S Tang, X Gao, B Yang… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Mobile crowdsensing has become a novel and promising paradigm in collecting, analyzing,
and exploiting massive amounts of data. However, the issue of data quality has not been …

Indoor positioning based on fingerprint-image and deep learning

W Shao, H Luo, F Zhao, Y Ma, Z Zhao, A Crivello - Ieee Access, 2018 - ieeexplore.ieee.org
Wi-Fi and magnetic field fingerprinting have been a hot topic in indoor positioning
researches because of their ubiquity and location-related features. Wi-Fi signals can provide …

We hear your pace: Passive acoustic localization of multiple walking persons

C Cai, H Pu, P Wang, Z Chen, J Luo - … of the ACM on Interactive, Mobile …, 2021 - dl.acm.org
Indoor localization is crucial to enable context-aware applications, but existing solutions
mostly require a user to carry a device, so as to actively sense location-discriminating …

D-watch: Embracing" bad" multipaths for device-free localization with COTS RFID devices

J Wang, J **ong, H Jiang, X Chen, D Fang - Proceedings of the 12th …, 2016 - dl.acm.org
Device-free localization, which does not require any device attached to the target is playing
a critical role in many applications such as intrusion detection, elderly monitoring, etc. This …