Inertial sensors technologies for navigation applications: State of the art and future trends
N El-Sheimy, A Youssef - Satellite Navigation, 2020 - Springer
Inertial navigation represents a unique method of navigation, in which there is no
dependency on external sources of information. As opposed to other position fixing …
dependency on external sources of information. As opposed to other position fixing …
Data fusion of total solar irradiance composite time series using 41 years of satellite measurements
Since the late 1970s, successive satellite missions have been monitoring the sun's activity
and recording the total solar irradiance (TSI). Some of these measurements have lasted for …
and recording the total solar irradiance (TSI). Some of these measurements have lasted for …
The Generalized Method of Wavelet Moments with eXogenous inputs: a fast approach for the analysis of GNSS position time series
The global navigation satellite system (GNSS) daily position time series are often described
as the sum of stochastic processes and geophysical signals which allow to study global and …
as the sum of stochastic processes and geophysical signals which allow to study global and …
An optimal fusion method of multiple inertial measurement units based on measurement noise variance estimation
At present, most inertial systems generally only contain a single inertial measurement unit
(IMU). Considering the low cost and low accuracy of the micro-electromechanical system …
(IMU). Considering the low cost and low accuracy of the micro-electromechanical system …
Generalized method of wavelet moments for inertial navigation filter design
The integration of observations issued from a satellite-based system (GNSS) with an inertial
navigation system (INS) is usually performed through a Bayesian filter such as the extended …
navigation system (INS) is usually performed through a Bayesian filter such as the extended …
Theoretical limitations of allan variance-based regression for time series model estimation
This letter formally proves the statistical inconsistency of the Allan variance-based estimation
of latent (composite) model parameters. This issue has not been sufficiently investigated and …
of latent (composite) model parameters. This issue has not been sufficiently investigated and …
A dual-linear Kalman filter for real-time orientation determination system using low-cost MEMS sensors
S Zhang, S Yu, C Liu, X Yuan, S Liu - Sensors, 2016 - mdpi.com
To provide a long-time reliable orientation, sensor fusion technologies are widely used to
integrate available inertial sensors for the low-cost orientation estimation. In this paper, a …
integrate available inertial sensors for the low-cost orientation estimation. In this paper, a …
An algorithm for online stochastic error modeling of inertial sensors in urban cities
L Zhao, L Zhao - Sensors, 2023 - mdpi.com
Regardless of whether the global navigation satellite system (GNSS)/inertial navigation
system (INS) is integrated or the INS operates independently during GNSS outages, the …
system (INS) is integrated or the INS operates independently during GNSS outages, the …
[HTML][HTML] Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment
Tightly-coupled sensor orientation, ie the simultaneous processing of temporal (GNSS and
raw inertial) and spatial (image and lidar) constraints in a common adjustment, has …
raw inertial) and spatial (image and lidar) constraints in a common adjustment, has …
Time synchronization of consumer cameras on Micro Aerial Vehicles
This article discusses the problem of time registration between navigation and imaging
components on Micro Aerial Vehicles (MAVs). Accurate map** with MAVs is gaining …
components on Micro Aerial Vehicles (MAVs). Accurate map** with MAVs is gaining …