An adaptive constrained type-2 fuzzy Hammerstein neural network data fusion scheme for low-cost SINS/GNSS navigation system

S Khankalantary, S Rafatnia, H Mohammadkhani - Applied Soft Computing, 2020 - Elsevier
In low-cost micro-electro mechanical system (MEMS)-grade strap-down inertial navigation
system (SINS), failure to compensate inertial sensors errors as well as un-modeled …

Fuzzy-adaptive constrained data fusion algorithm for indirect centralized integrated SINS/GNSS navigation system

S Rafatnia, H Nourmohammadi, J Keighobadi - Gps Solutions, 2019 - Springer
The main challenge of low-cost strap-down inertial navigation systems (SINSs) is time-
growing positioning error due to erroneous measurements of micro-electro mechanical …

Improved LSTM neural network-assisted combined vehicle-mounted GNSS/SINS navigation and positioning algorithm

L Song, P Xu, X He, Y Li, J Hou, H Feng - Electronics, 2023 - mdpi.com
Aiming at the problem of the combined navigation system of on-board GNSS (global
navigation satellite system)/SINS (strapdown inertial navigation system), the accuracy of the …

In-move aligned SINS/GNSS system using recurrent wavelet neural network (RWNN)-based integration scheme

S Rafatnia, H Nourmohammadi, J Keighobadi… - Mechatronics, 2018 - Elsevier
Advances in micro-electro mechanical system (MEMS) technology bring about revolutionary
changes in autonomous vehicle navigation. As a new development, strap-down inertial …

Optimizing neuro-fuzzy modules for data fusion of vehicular navigation systems using temporal cross-validation

A Noureldin, A El-Shafie, MR Taha - Engineering Applications of Artificial …, 2007 - Elsevier
The last two decades have shown an increasing trend in the use of positioning and
navigation technologies in land vehicles. Most of the present navigation systems incorporate …

Fuzzy adaptive integration scheme for low-cost SINS/GPS navigation system

H Nourmohammadi, J Keighobadi - Mechanical Systems and Signal …, 2018 - Elsevier
Due to weak stand-alone accuracy as well as poor run-to-run stability of micro-electro
mechanical system (MEMS)-based inertial sensors, special approaches are required to …

GPS/INS integration utilizing dynamic neural networks for vehicular navigation

A Noureldin, A El-Shafie, M Bayoumi - Information fusion, 2011 - Elsevier
Recently, methods based on Artificial Intelligence (AI) have been suggested to provide
reliable positioning information for different land vehicle navigation applications integrating …

A hybrid data fusion approach to AI-assisted indirect centralized integrated SINS/GNSS navigation system during GNSS outage

ES Abdolkarimi, MR Mosavi, S Rafatnia… - IEEE Access, 2021 - ieeexplore.ieee.org
The main challenges for integration between low-cost strap-down inertial navigation system
(SINS) and global navigation satellite system (GNSS) are to manage the non-Gaussian …

Generalized dynamic fuzzy NN model based on multiple fading factors SCKF and its application in integrated navigation

J Wang, Z Ma, X Chen - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Traditional neural network (NN)'s generalization ability is weak, and its prediction accuracy
depends heavily on the selection of network structure and training samples, so it cannot be …

A modified neuro-fuzzy system for accuracy improvement of low-cost MEMS-Based INS/GPS navigation system

ES Abdolkarimi, MR Mosavi - Wireless Personal Communications, 2023 - Springer
Integration of an inertial navigation system (INS) and global positioning system (GPS)
assures the reliability and accuracy of navigation solutions compared with standalone GPS …