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Automatic Identification and Calibration of Stochastic Parameters in Inertial Sensors

Publications associées (44)

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In airborne laser scanning a high-frequency trajectory solution is typically determined from inertial sensors and employed to directly geo-reference the acquired laser points. When low-cost MEMS inertial sensors are used, such as in lightweight unmanned ae ...

2022

How an animal allocates time and energy to different activities has repercussions for its survival, fitness, and response to changing environmental conditions. Fine-scale information on animal behaviour and energy expenditure can help develop better inform ...

EPFL2020

On the calibration aspects of MEMS-IMUs used in micro UAVs for sensor orientation

Jan Skaloud, Philipp Clausen

We introduce a three step procedure to improve attitude determination by MEMS-IMU sensors on board a small UAV. IMU pre-calibration is performed first and only once in the lab; second in a simplified version and for every switch-on in the field. Together, ...

IEEE/ION2020

Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensors

Kamiar Aminian, Mathieu Pascal Falbriard

This research aimed to determine whether: (1) shoe-worn magnetic and inertial sensors can be used to detect hurdle clearance and identify the leading leg in 400-m hurdles, and (2) to provide an analysis of the hurdlers’ spatiotemporal parameters in the int ...

2020

Changes in spatio-temporal gait parameters and vertical speed during an extreme mountain ultra-marathon

Kamiar Aminian, Frédéric Meyer, Grégoire Millet, Mathieu Pascal Falbriard

The aim of the present study was to investigate the effects of altitude and distance on uphill vertical speed (VS) and the main spatio-temporal gait parameters during an extreme mountain ultra-marathon. The VS, stride height (SH) and stride frequency (SF) ...

TAYLOR & FRANCIS LTD2020

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Proper modeling of stochastic errors in inertial sensors plays a crucial role in the achievable quality of GNSS-INS integration especially with low-cost inertial sensors. Generalized Method of Wavelet Moments (GMWM) can model the underlying process for suc ...

2019

Calibration Aspects of INS Navigation

Philipp Clausen

The use of a Bayesian filter (e.g., Kalman filter) for the fusion of information from satellite positioning and inertial navigation is a common approach in many applications, where the knowledge of position, velocity, and attitude in space are of great int ...

EPFL2019

This master thesis presents a detailed overview of various MEMS accelerometers used as vibrometers in harsh environments. Commercial and scientific literature accelerometers are compared to determine the best accelerometer for said application. This compar ...

2019

The Casimir Effect is a physical manifestation of quantum fluctuations of the electromagnetic vacuum. When two metal plates are placed close together, typically much less than a micron, the long wavelength modes between them are frozen out, giving rise to ...

Springer2019

Construction of dynamically-dependent stochastic error models, 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

Stochastic behavior of an instrument is often analyzed by constructing the Allan (or wavelet) variance signatures from an error signal. For inertial sensors, such a signature is conveniently obtained by recording data at rest. The analysis of this signal w ...

IEEE ION PLANS2018