Data fusion in intelligent transportation systems: Progress and challenges–A survey
NE El Faouzi, H Leung, A Kurian - Information Fusion, 2011 - Elsevier
In intelligent transportation systems (ITS), transportation infrastructure is complimented with
information and communication technologies with the objectives of attaining improved …
information and communication technologies with the objectives of attaining improved …
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 …
[HTML][HTML] Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches
Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …
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 …
In-car positioning and navigation technologies—A survey
In-car positioning and navigation has been a killer application for Global Positioning System
(GPS) receivers, and a variety of electronics for consumers and professionals have been …
(GPS) receivers, and a variety of electronics for consumers and professionals have been …
A LSTM algorithm estimating pseudo measurements for aiding INS during GNSS signal outages
W Fang, J Jiang, S Lu, Y Gong, Y Tao, Y Tang, P Yan… - Remote sensing, 2020 - mdpi.com
Aiming to improve the navigation accuracy during global navigation satellite system (GNSS)
outages, an algorithm based on long short-term memory (LSTM) is proposed for aiding …
outages, an algorithm based on long short-term memory (LSTM) is proposed for aiding …
Deep learning-enabled fusion to bridge GPS outages for INS/GPS integrated navigation
Y Liu, Q Luo, Y Zhou - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The low cost inertial navigation system (INS) suffers from bias and measurement noise,
which would result in poor navigation accuracy during global positioning system (GPS) …
which would result in poor navigation accuracy during global positioning system (GPS) …
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 …
reliable positioning information for different land vehicle navigation applications integrating …
[HTML][HTML] An INS/GNSS integrated navigation in GNSS denied environment using recurrent neural network
H Dai, H Bian, R Wang, H Ma - Defence technology, 2020 - Elsevier
In view of the failure of GNSS signals, this paper proposes an INS/GNSS integrated
navigation method based on the recurrent neural network (RNN). This proposed method …
navigation method based on the recurrent neural network (RNN). This proposed method …
A hybrid fusion algorithm for GPS/INS integration during GPS outages
To enhance the performance of an integrated Global Positioning System and Inertial
Navigation System (GPS/INS) during GPS outages, a novel hybrid fusion algorithm is …
Navigation System (GPS/INS) during GPS outages, a novel hybrid fusion algorithm is …