Artificial neural networks for navigation systems: A review of recent research
Several machine learning (ML) methodologies are gaining popularity as artificial
intelligence (AI) becomes increasingly prevalent. An artificial neural network (ANN) may be …
intelligence (AI) becomes increasingly prevalent. An artificial neural network (ANN) may be …
A review of Kalman filter with artificial intelligence techniques
Kalman filter (KF) is a widely used estimation algorithm for many applications. However, in
many cases, it is not easy to estimate the exact state of the system due to many reasons …
many cases, it is not easy to estimate the exact state of the system due to many reasons …
A hybrid prediction method for bridging GPS outages in high-precision POS application
L Chen, J Fang - IEEE Transactions on Instrumentation and …, 2014 - ieeexplore.ieee.org
Position and orientation system (POS) is a key technology widely used in remote sensing
applications, which integrates inertial navigation system (INS) and GPS using a Kalman filter …
applications, which integrates inertial navigation system (INS) and GPS using a Kalman filter …
A review of Bayes filters with machine learning techniques and their applications
A Bayes filter is a widely used estimation algorithm, but it has inherent limitations.
Performance can degrade when the dynamics are highly nonlinear or when the probability …
Performance can degrade when the dynamics are highly nonlinear or when the probability …
Artificial intelligence based methods for accuracy improvement of integrated navigation systems during GNSS signal outages: an analytical overview
The limitations of Kalman filter (KF) have motivated researchers to consider alternative
methods of integrating inertial navigation systems (INS) and global navigation satellite …
methods of integrating inertial navigation systems (INS) and global navigation satellite …
A novel approach for aiding unscented Kalman filter for bridging GNSS outages in integrated navigation systems
N Al Bitar, A Gavrilov - Navigation, 2021 - Wiley Online Library
Aiming to improve the position and velocity precision of the INS/GNSS system during GNSS
outages, a novel system that combines unscented Kalman filter (UKF) and nonlinear …
outages, a novel system that combines unscented Kalman filter (UKF) and nonlinear …
A hybrid fusion strategy for the land vehicle navigation using MEMS INS, odometer and GNSS
S Du, S Zhang, X Gan - IEEE Access, 2020 - ieeexplore.ieee.org
How to limit the drifts of the navigation errors in an inertial navigation system (INS) with low-
cost sensors is one of the main challenges for the land vehicle navigations. In this paper, we …
cost sensors is one of the main challenges for the land vehicle navigations. In this paper, we …
Enhanced Kalman filter using noisy input Gaussian process regression for bridging GPS outages in a POS
W Ye, Z Liu, C Li, J Fang - The Journal of Navigation, 2018 - cambridge.org
A Position and Orientation System (POS) integrating an Inertial Navigation Systems (INS)
and the Global Positioning System (GPS) is a key component of remote sensing motion …
and the Global Positioning System (GPS) is a key component of remote sensing motion …
Radial basis function Kalman filter for attitude estimation in GPS‐denied environment
This study presents a radial basis function (RBF) aided extended Kalman filter
(EKF)(namely, novel RBFEKF: NRBFEKF) to improve attitude estimation solutions in GPS …
(EKF)(namely, novel RBFEKF: NRBFEKF) to improve attitude estimation solutions in GPS …
Improving GPS/INS integration using FIKF‐filtered innovation Kalman filter
A Shaghaghian, P Karimaghaee - Asian Journal of Control, 2019 - Wiley Online Library
Abstract The Kalman Filter (KF) is the most popular approach in sensor fusion and
navigation applications. Improving the accuracy of estimation may increase the navigation …
navigation applications. Improving the accuracy of estimation may increase the navigation …