Results 31 to 40 of about 37,036 (246)

Efficient Attitude Estimators: A Tutorial and Survey [PDF]

open access: yesJournal of Signal Processing Systems, 2021
Inertial sensors based on micro-electromechanical systems (MEMS) technology, such as accelerometers and angular rate sensors, are cost-effective solutions used in inertial navigation systems in a broad spectrum of applications that estimate position, velocity and orientation of a system with respect to an inertial reference frame.
Hussein Al-Jlailaty, Mohammad M. Mansour
openaire   +2 more sources

Attitude Estimation of Skis in Ski Jumping Using Low-Cost Inertial Measurement Units

open access: yesProceedings, 2018
This paper presents an approach to estimate the attitude of skis for an entire ski jump using wearable, MEMS-based, low-cost Inertial Measurement Units (IMUs). First of all, a kinematic attitude model based on rigid-body dynamics and a sensor error model
Xiang Fang   +2 more
doaj   +1 more source

Attitude estimation with feedback particle filter [PDF]

open access: yes2016 IEEE 55th Conference on Decision and Control (CDC), 2016
This paper presents theory, application, and comparisons of the feedback particle filter (FPF) algorithm for the problem of attitude estimation. The paper builds upon our recent work on the exact FPF solution of the continuous-time nonlinear filtering problem on compact Lie groups.
Chi Zhang 0009   +2 more
openaire   +2 more sources

MAGINAV: Long-Term Accurate Navigation Algorithm Using Inertial and Magnetic Field Sensor Fusion

open access: yesIEEE Access, 2023
MAGINAV (MAGnetic Inertial NAVigation) algorithm provides accurate estimation of velocity, attitude and position in long-term. It is utilized in a specialized pedestrian navigation system that consists of a three-axis accelerometer, a three-axis ...
Konstantinos Papafotis   +1 more
doaj   +1 more source

Implementation and Comparison of Attitude Estimation Algorithms Using Low-Cost Sensors [PDF]

open access: yesفصلنامه علوم و فناوری فضایی, 2023
In a flying system, attitude control is one of the essential subsystems. In this subsystem, estimating the current state is very important to control the state, which is achieved by considering the attitude sensors.
M. Navabi, M. Salehi
doaj   +1 more source

Nonlinear Extended Kalman Filter for Attitude Estimation of the Fixed-Wing UAV

open access: yesInternational Journal of Optics, 2022
Flying vehicle’s navigation, direction, and control in real-time results in the design of a strap-down inertial navigation system (INS). The strategy results in low accuracy, performance with correctness.
Tang Xiaoqian   +3 more
doaj   +1 more source

Magnetic, Acceleration Fields and Gyroscope Quaternion (MAGYQ)-Based Attitude Estimation with Smartphone Sensors for Indoor Pedestrian Navigation

open access: yesSensors, 2014
The dependence of proposed pedestrian navigation solutions on a dedicated infrastructure is a limiting factor to the deployment of location based services.
Valérie Renaudin, Christophe Combettes
doaj   +1 more source

UAV attitude estimation based on MARG and optical flow sensors using gated recurrent unit

open access: yesInternational Journal of Distributed Sensor Networks, 2021
Three-dimensional attitude estimation for unmanned aerial vehicles is usually based on the combination of magnetometer, accelerometer, and gyroscope (MARG).
Xiaoqin Liu   +4 more
doaj   +1 more source

Filtering-Based Three-Axis Attitude Determination Package for Spinning Spacecraft: Preliminary Results with Arase

open access: yesAerospace, 2020
JAXA’s ERG (Exploration of Energization and Radiation in Geospace) Spacecraft, which is nicknamed Arase, was launched on 20 December 2016. Arase is a spin-stabilized and Sun-oriented spacecraft. Its mission is to explore how relativistic electrons in the
Halil Ersin Soken   +5 more
doaj   +1 more source

An Open-Source Test Environment for Effective Development of MARG-Based Algorithms

open access: yesSensors, 2021
This paper presents an open-source environment for development, tuning, and performance evaluation of magnetic, angular rate, and gravity-based (MARG-based) filters, such as pose estimators and classification algorithms.
Ákos Odry
doaj   +1 more source

Home - About - Disclaimer - Privacy