Predicting the noise covariance with a multitask learning model for Kalman filter-based GNSS/INS integrated navigation

F Wu, H Luo, H Jia, F Zhao, Y Xiao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the recent years, the availability of accurate vehicle position becomes more urgent. The
global navigation satellite systems/inertial navigation system (GNSS/INS) is the most used …

Experimental analysis of filtering algorithms for IMU-based applications under vibrations

D Capriglione, M Carratù, M Catelani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The use of microelectro-mechanical systems (MEMS)-based inertial measurement units
(IMUs) is widespread in many applications concerning monitoring, diagnostic, and/or …

Enhanced fault detection for GNSS/INS integration using maximum correntropy filter and local outlier factor

W Wang, W Shangguan, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fault detection is crucial to isolate positioning risks for safety-critical applications using
Global Navigation Satellite Systems. Conventional Kalman filter-based fault detection …

A train positioning method based-on vision and millimeter-wave radar data fusion

Z Wang, G Yu, B Zhou, P Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate train positioning is crucial for train safety. In this paper, we propose a train
positioning method which fuses vison and millimeter-wave radar data. The proposed …

Improved robust Kalman filter for state model errors in GNSS-PPP/MEMS-IMU double state integrated navigation

Z Li, Z Liu, L Zhao - Advances in Space Research, 2021 - Elsevier
Abstract The integration of Global Navigation Satellite System (GNSS) with Inertial
Navigation Systems (INS) has been actively researched and widely applied as it can provide …

Hybridized-GNSS approaches to train positioning: Challenges and open issues on uncertainty

S Spinsante, C Stallo - Sensors, 2020 - mdpi.com
In recent years, the development of advanced systems and applications has propelled the
adoption of autonomous railway traffic and train positioning, with several ongoing initiatives …

Onboard train localization based on railway track irregularity matching

Y Zhou, Q Chen, R Wang, G Jia… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Train localization is a task of fundamental importance to provide reliable and accurate train
positioning information for railway control and operation. Determining the train's position …

Digital filtering of railway track coordinates in mobile multi–receiver GNSS measurements

A Wilk, W Koc, C Specht, S Judek, K Karwowski… - Sensors, 2020 - mdpi.com
The article discusses an important issue in connection with the technique of mobile Global
Navigation Satellite System (GNSS) measurements of railway track coordinates, which is …

A novel visual measurement framework for land vehicle positioning based on multimodule cascaded deep neural network

Z Zheng, X Li, Z Sun, X Song - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
This article proposes a novel visual measurement framework, multimodule cascaded deep
neural network (MMC-DNN), to achieve accurate, reliable, and cost-effective vehicle …

Performance analysis of MEMS-based inertial measurement units in terrestrial vehicles

D Capriglione, M Carratù, M Catelani, L Ciani, G Patrizi… - Measurement, 2021 - Elsevier
In the recent period, Inertial Measurement Units (IMUs) are widely employed in many
applications, such as smartphones, robotics, Unmanned Aerial vehicles, automotive and self …