Seamless GPS/inertial navigation system based on self-learning square-root cubature Kalman filter

C Shen, Y Zhang, X Guo, X Chen, H Cao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
To improve the seamless navigation ability of an integrated Global Positioning System
(GPS)/inertial navigation system in GPS-denied environments, a hybrid navigation strategy …

Multi-rate strong tracking square-root cubature Kalman filter for MEMS-INS/GPS/polarization compass integrated navigation system

C Shen, Y Xiong, D Zhao, C Wang, H Cao… - … Systems and Signal …, 2022 - Elsevier
The microelectromechanical system-inertial navigation system (MEMS-INS) is one of the
most widely used sensor systems in navigation but must be used with other sensors …

Learning visual semantic map-matching for loosely multi-sensor fusion localization of autonomous vehicles

Z Zhang, J Zhao, C Huang, L Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Precise localization is essential but also challenging for autonomous vehicles. In this article,
A novel visual localization method is proposed. Specifically, a semantic local map …

A double-step unscented Kalman filter and HMM-based zero-velocity update for pedestrian dead reckoning using MEMS sensors

X Tong, Y Su, Z Li, C Si, G Han, J Ning… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel method for pedestrian dead reckoning (PDR) using
microelectromechanical system magnetic, angular rate, and gravity sensors, which includes …

An IMM-UKF aided SINS/USBL calibration solution for underwater vehicles

Y Yao, X Xu, D Yang, X Xu - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
To improve the efficiency of the calibration process and enhance the adaptability of the
calibration method, an interacting multiple model and unscented Kalman filter (IMM-UKF) …

Vehicle state estimation for INS/GPS aided by sensors fusion and SCKF-based algorithm

R Song, Y Fang - Mechanical Systems and Signal Processing, 2021 - Elsevier
To improve the safety and stability of land vehicles, this paper explores the estimation
problem for vehicle states, including lateral velocity and attitude. First, a robust sliding mode …

RL-AKF: An adaptive kalman filter navigation algorithm based on reinforcement learning for ground vehicles

X Gao, H Luo, B Ning, F Zhao, L Bao, Y Gong, Y Xiao… - Remote Sensing, 2020 - mdpi.com
Kalman filter is a commonly used method in the Global Navigation Satellite System
(GNSS)/Inertial Navigation System (INS) integrated navigation system, in which the process …

UAV vision aided INS/odometer integration for land vehicle autonomous navigation

J Dong, X Ren, S Han, S Luo - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Autonomous navigation without external GNSS aiding is crucial for some kinds of land
vehicle applications, such as military vehicles and unmanned vehicles navigation under …

Virtual beam aided SINS/DVL tightly coupled integration method with partial DVL measurements

Y Yao, X Xu, X Xu, I Klein - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Strapdown inertial navigation system (SINS)/Doppler velocity log (DVL) tightly coupled (TC)
fusion is a popular scheme as it offers increased robustness compared to other approaches …

Dual free-size LS-SVM assisted maximum correntropy Kalman filtering for seamless INS-based integrated drone localization

Y Xu, D Wan, YS Shmaliy, X Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
It is known that in seamless inertial navigation system (INS)-based integrated drone
localization, once data outage occurs in auxiliary measurement technologies, such as global …