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 …

Fifteen years of progress at zero velocity: A review

J Wahlström, I Skog - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Fifteen years have passed since the publication of Foxlin's seminal paper “Pedestrian
tracking with shoe-mounted inertial sensors”. In addition to popularizing the zero-velocity …

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

C Chen, B Wang, CX Lu, N Trigoni… - ar** has recently attracted significant attention.
Instead of creating hand-designed algorithms through exploitation of physical models or …

Deep-learning-based pedestrian inertial navigation: Methods, data set, and on-device inference

C Chen, P Zhao, CX Lu, W Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Modern inertial measurements units (IMUs) are small, cheap, energy efficient, and widely
employed in smart devices and mobile robots. Exploiting inertial data for accurate and …

Deep learning-enabled fusion to bridge GPS outages for INS/GPS integrated navigation

Y Liu, Q Luo, Y Zhou - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The low cost inertial navigation system (INS) suffers from bias and measurement noise,
which would result in poor navigation accuracy during global positioning system (GPS) …

[HTML][HTML] Toward accurate position estimation using learning to prediction algorithm in indoor navigation

F Jamil, N Iqbal, S Ahmad, DH Kim - Sensors, 2020 - mdpi.com
Internet of Things is advancing, and the augmented role of smart navigation in automating
processes is at its vanguard. Smart navigation and location tracking systems are finding …

Threshold-free phase segmentation and zero velocity detection for gait analysis using foot-mounted inertial sensors

X Shi, Z Wang, H Zhao, S Qiu, R Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Gait analysis is a prosperous tool for the clinical evaluation and diagnosis. In this article, a
portable gait analysis system based on foot-mounted inertial sensors is established. A …

AbolDeepIO: A novel deep inertial odometry network for autonomous vehicles

MA Esfahani, H Wang, K Wu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Inertial measurement units (IMUs) suffer from bias and measurement noise, which makes it
much more complicated to tackle the problem of inertial odometry (IO). Due to the error …

RINS-W: Robust inertial navigation system on wheels

M Brossard, A Barrau… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
This paper proposes a real-time approach for long-term inertial navigation based only on an
Inertial Measurement Unit (IMU) for self-localizing wheeled robots. The approach builds …

Oxiod: The dataset for deep inertial odometry

C Chen, P Zhao, CX Lu, W Wang, A Markham… - arxiv preprint arxiv …, 2018 - arxiv.org
Advances in micro-electro-mechanical (MEMS) techniques enable inertial measurements
units (IMUs) to be small, cheap, energy efficient, and widely used in smartphones, robots …