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 …
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 …
(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 …
Global Navigation Satellite Systems. Conventional Kalman filter-based fault detection …
A train positioning method based-on vision and millimeter-wave radar data fusion
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 …
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 …
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 …
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 …
positioning information for railway control and operation. Determining the train's position …
Digital filtering of railway track coordinates in mobile multi–receiver GNSS measurements
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 …
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 …
neural network (MMC-DNN), to achieve accurate, reliable, and cost-effective vehicle …
Performance analysis of MEMS-based inertial measurement units in terrestrial vehicles
In the recent period, Inertial Measurement Units (IMUs) are widely employed in many
applications, such as smartphones, robotics, Unmanned Aerial vehicles, automotive and self …
applications, such as smartphones, robotics, Unmanned Aerial vehicles, automotive and self …