A systematic review of machine learning techniques for GNSS use cases
In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
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 …
[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 …
Machine Learning, data mining for IOT-based systems
R Kashyap - Handbook of Research on Big Data and the IoT, 2019 - igi-global.com
This chapter will addresses challenges with the internet of things (IoT) and machine learning
(ML), how a bit of the trouble of machine learning executions are recorded here and should …
(ML), how a bit of the trouble of machine learning executions are recorded here and should …
A novel hybrid fusion algorithm for low-cost GPS/INS integrated navigation system during GPS outages
D Li, X Jia, J Zhao - Ieee Access, 2020 - ieeexplore.ieee.org
It is the main challenge for Global Positioning System (GPS)/Inertial Navigation System (INS)
to achieve reliable and low-cost positioning solutions during GPS outages. A new GPS/INS …
to achieve reliable and low-cost positioning solutions during GPS outages. A new GPS/INS …
An underwater integrated navigation algorithm to deal with DVL malfunctions based on deep learning
D Li, J Xu, H He, M Wu - IEEE access, 2021 - ieeexplore.ieee.org
In underwater navigation systems, Global Navigation Satellite System (GNSS) information
cannot be used for navigation. The mainstream method of autonomous underwater vehicles …
cannot be used for navigation. The mainstream method of autonomous underwater vehicles …
Promoting navigation system efficiency during GPS outage via cascaded neural networks: A novel AI based approach
Acquiring precise navigation data is a vital process to unmanned vehicles. Although Inertial
Navigation System and Global Positioning System (INS/GPS) integrated system provides …
Navigation System and Global Positioning System (INS/GPS) integrated system provides …
[HTML][HTML] Hybrid noise removal to improve the accuracy of inertial sensors using lifting wavelet transform optimized by genetic algorithm
Abstract An Inertial Navigation System (INS) is a standalone system that provides
continuous navigation information on the position, velocity, and attitude in various …
continuous navigation information on the position, velocity, and attitude in various …
Implementation of a MEMS-based GNSS/INS integrated scheme using supported vector machine for land vehicle navigation
L Cong, S Yue, H Qin, B Li, J Yao - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
The performance of the integrated global navigation satellite system (GNSS) and inertial
navigation system (INS) has been proven to be more accurate, reliable, and continuous than …
navigation system (INS) has been proven to be more accurate, reliable, and continuous than …
A novel multiple-model adaptive Kalman filter for an unknown measurement loss probability
This article proposes a novel adaptive Kalman filter (AKF) to estimate the unknown
probability of measurement loss using the interacting multiple-model (IMM) filtering …
probability of measurement loss using the interacting multiple-model (IMM) filtering …