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Inertial Measurement Unit Error Modeling Tutorial: Inertial Navigation System State Estimation with Real-Time Sensor Calibration

IEEE Control Systems, 2022
Autonomous vehicle technology is rapidly advancing (see “Summary”). A key enabling factor is the advancing capabilities and declining cost of computing and sensing systems that enable sensor fusion for awareness of the vehicle’s state and surroundings ...
J. Farrell   +3 more
semanticscholar   +1 more source

Micromachined inertial sensors

Proceedings of the IEEE, 1998
This paper presents a review of silicon micromachined accelerometers and gyroscopes. Following a brief introduction to their operating principles and specifications, various device structures, fabrication, technologies, device designs, packaging, and interface electronics issues, along with the present status in the commercialization of micromachined ...
Navid Yazdi   +2 more
openaire   +1 more source

Micromachined inertial sensors

Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289), 2003
The emergence of micro sensors and actuators is pushing forward the revolution of intelligent systems technology. Intelligent systems technology allows a dramatic change in the way that machines, tools, and systems serve humans. This paper reviews recent R&D and commercial status of inertial sensors using silicon micromachining technologies and ...
Cimoo Song   +2 more
openaire   +1 more source

Wearable Inertial Sensors for Exergames and Rehabilitation

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
This paper presents the design and development of an exergame for the wearable inertial sensor (WIS) system for performing range of motion (ROM) exercises. The salient features of the exergame include: (i) a sensor calibration user-interface (UI); (ii) a sensor mounting UI, (iii) a patient gaming UI; (iv) an instructor playback UI; and (v) an ...
Satish Reddy Bethi   +4 more
openaire   +3 more sources

Estimation of gait kinematics and kinetics from inertial sensor data using optimal control of musculoskeletal models.

Journal of Biomechanics, 2019
Inertial sensing enables field studies of human movement and ambulant assessment of patients. However, the challenge is to obtain a comprehensive analysis from low-quality data and sparse measurements.
Eva Dorschky   +4 more
semanticscholar   +1 more source

Purely Inertial Navigation with a Low-Cost MEMS Sensor Array

2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL), 2021
This paper examines the position precision of purely inertial navigation using an array of redundant, low-cost MEMS sensors. A carefully designed IMU is used to perform navigation experiments and to analyze the benefits of a sensor array over a single ...
L. Blocher   +6 more
semanticscholar   +1 more source

Inertial magnetofluidic sensor

IEEE Transactions on Magnetics, 1994
A new application of first kind levitation in magnetic fluids has been studied. Using the inertial properties of a diamagnetic or paramagnetic heavy body immersed in magnetic fluid positioned in a magnetic field gradient the possibility to achieve an inertial magnetofluidic sensor has been proved.
V.Z. Iusan, A.Gh. Stanci
openaire   +1 more source

A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling

IEEE Transactions on Instrumentation and Measurement, 2019
The calibration of low-cost inertial sensors has become increasingly important over the last couple of decades, especially when dealing with sensor stochastic errors.
Ahmed Radi   +5 more
semanticscholar   +1 more source

A Robot Visual/Inertial Servoing to an Object with Inertial Sensors

2009
The paper introduces a robot visual/inertial servoing algorithm when the robot needs to track an object with inertial sensors inside. In this situation, first, inertial Jacobian is newly defined to show the relationship between an angle set velocity vector and angular velocity vector of the robot tip.
Ho Quoc Phuong Nguyen   +3 more
openaire   +1 more source

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

IEEE Transactions on robotics, 2020
In recent years, onboard self-localization (OSL) methods based on cameras or lidar have achieved many significant progresses. However, some issues such as estimation drift and robustness in low-texture environment still remain inherent challenges for OSL
Thien-Minh Nguyen   +5 more
semanticscholar   +1 more source

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