Fault Detection and Isolation in Multiple MEMS-IMUs Configurations

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Related publications (24)

Implementation and Performance of a GPS/INS Tightly Coupled Assisted PLL Architecture Using MEMS Inertial Sensors

Pierre-André Farine, Cyril Botteron, Phillip Tomé, Yannick Stebler, Youssef Tawk

The use of global navigation satellite system receivers for navigation still presents many challenges in urban canyon and indoor environments, where satellite availability is typically reduced and received signals are attenuated. To improve the navigation ...

Mdpi Ag2014

Detecting Planar Surface Using a Light-Field Camera with Application to Distinguishing Real Scenes From Printed Photos

Martin Vetterli, Alireza Ghasemi

We propose a novel approach for detecting printed photos from natural scenes using a light-field camera. Our approach exploits the extra information captured by a light-field camera and the multiple views of scene in order to infer a compact feature vector ...

Ieee2014

Advanced Algorithmic and Architecture Designs for Future Satellite Navigation Receivers

Youssef Tawk

The use of global navigation satellite system (GNSS) receivers for navigation still presents many challenges, in particular in urban canyon and indoor environments where satellite availability is reduced and received signals are usually much atten- uated. ...

EPFL2013

MEMS Inertial Sensor to Measure the Gravity Gradient Torque in Orbit

Kaustav Ghose

Since the dawn of the Space Age, over six thousand satellites have been launched into Earth orbit. The function of determining the orientation of a satellite in orbit, so that it can point its antennas and instruments in the required direction is known as ...

EPFL2012

Temporally aliased video microscopy: an undersampling method for in-plane modal analysis of microelectromechanical systems

Martinus Gijs, Christophe Yamahata, Marc Stranczl

A simple optical method is proposed for performing in-plane experimental modal analysis of micromachined structures with a conventional charge-coupled device (CCD) camera. The motion of a micromechanical device actuated by high frequency sinusoidal forces ...

Institute of Electrical and Electronics Engineers2012

An effortless procedure to align the local frame of an inertial measurement unit to the local frame of another motion capture system

Kamiar Aminian, Julien Favre, Julien Chardonnens

Inertial measurement units (IMUs) offer great opportunities to analyze segmental and joints kinematics. When combined with another motion capture system (MCS), for example, to validate new IMU-based applications or to develop mixed systems, it is necessary ...

Elsevier2012

Improving Modeling of MEMS-IMUs Operating in GNSS-denied Conditions

Jan Skaloud, Stéphane Guerrier, Yannick Stebler

Stochastic modeling is a challenging task for low- cost inertial sensors whose errors can have complex spectral structures. This makes the tuning process of the INS/GNSS Kalman filter often sensitive and difficult. We are currently investigating two approa ...

Inst Navigation2011

Optimization of two GPS/MEMS-IMU integration strategies with application to sports

Jan Skaloud, Adrian Wägli

The application of low-cost L1 GPS receivers integrated with micro-electro-mechanical system (MEMS) inertial measurement units (IMU) allows the continuous observation of position, velocity and orientation which opens new possibilities for comparison orf at ...

Springer Verlag2009

Vision-based control of near-obstacle flight

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

This paper presents a novel control strategy, which we call optiPilot, for autonomous flight in the vicinity of obstacles. Most existing autopilots rely on a complete 6-degree-of-freedom state estimation using a GPS and an Inertial Measurement Unit (IMU) a ...

2009

Vision-based control of near-obstacle flight

Antoine Beyeler

Lightweight micro unmanned aerial vehicles (micro-UAVs) capable of autonomous flight in natural and urban environments have a large potential for civil and commercial applications, including environmental monitoring, forest fire monitoring, homeland securi ...

EPFL2009