State of art on state estimation: Kalman filter driven by machine learning
Y Bai, B Yan, C Zhou, T Su, X ** - Annual Reviews in Control, 2023 - Elsevier
The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of
applications, including positioning and navigation, sensor networks, battery management …
applications, including positioning and navigation, sensor networks, battery management …
State of the art in vision-based localization techniques for autonomous navigation systems
Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …
(VIO), have attracted great attention recently. They are regarded as critical modules for …
Vehicle localization during GPS outages with extended Kalman filter and deep learning
J Liu, G Guo - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Integration of microelectromechanical system-based inertial navigation system (MEMS-INS)
and global positioning system (GPS) is a promising approach to vehicle localization …
and global positioning system (GPS) is a promising approach to vehicle localization …
Seamless GPS/inertial navigation system based on self-learning square-root cubature Kalman filter
To improve the seamless navigation ability of an integrated Global Positioning System
(GPS)/inertial navigation system in GPS-denied environments, a hybrid navigation strategy …
(GPS)/inertial navigation system in GPS-denied environments, a hybrid navigation strategy …
Brain-like position measurement method based on improved optical flow algorithm
X Liu, J Tang, C Shen, C Wang, D Zhao, X Guo, J Li… - ISA transactions, 2023 - Elsevier
In this paper, a brain-like navigation scheme based on fuzzy kernel C-means (FKCM)
clustering assisted pyramid Lucas Kanade (LK) optical flow algorithm is developed to …
clustering assisted pyramid Lucas Kanade (LK) optical flow algorithm is developed to …
A review: State estimation based on hybrid models of Kalman filter and neural network
S Feng, X Li, S Zhang, Z Jian, H Duan… - Systems Science & …, 2023 - Taylor & Francis
In this paper, hybrid models of Kalman filter and neural network for state estimation are
reviewed of their corresponding academic achievements, the creation of which is a …
reviewed of their corresponding academic achievements, the creation of which is a …
Multi-rate strong tracking square-root cubature Kalman filter for MEMS-INS/GPS/polarization compass integrated navigation system
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 …
most widely used sensor systems in navigation but must be used with other sensors …
[HTML][HTML] An approach towards missing data management using improved GRNN-SGTM ensemble method
The paper considers missing data management task in smart systems. The main strategies
of missing data management in handling missing data are analyzed. A prediction method for …
of missing data management in handling missing data are analyzed. A prediction method for …
[HTML][HTML] Inertial navigation meets deep learning: A survey of current trends and future directions
Inertial sensing is employed in a wide range of applications and platforms, from everyday
devices such as smartphones to complex systems like autonomous vehicles. In recent years …
devices such as smartphones to complex systems like autonomous vehicles. In recent years …
Paving the way with machine learning for seamless indoor–outdoor positioning: A survey
Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …