The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems,
which are being applied in embedded systems and Internet-of-Things devices, has brought …

The definitive textbook and professional reference on Kalman Filtering–fully updated,
revised, and expanded This book contains the latest developments in the implementation …

The Kalman filter has been the work horse in model based filtering for five decades, and
basic knowledge and understanding of it is an important part of the curriculum in many …

This paper presents the results of a quaternion-based unscented Kalman filtering for attitude
estimation using low cost MEMS sensors. The unscented Kalman filter uses the pitch and …

Data processing is a challenging task in the realms of experimental physics. An
experimental physicist is poised with statistical and probabilistic techniques that enable to …

The Kalman filter (KF) has received a huge interest from the industrial electronics community
and has played a key role in many engineering fields since the 1970s, ranging, without …

Over the last decade, smart sensors have grown in complexity and can now handle multiple
measurement sources. This work establishes a methodology to achieve better estimates of …

This study presents recent trends, challenges, applications, and design methodologies of
Kalman filter which becomes a cornerstone for the application of unmanned systems. The …

This paper addresses the development of a high precision low-cost Inertia Measurement
Unit (IMU) where MEMS-based accelerators, gyroscopes, magnetic sensors and an …

The Kalman filter algorithm is one of the most common estimation techniques used today,
yet generally engineers do not encounter it until they have begun their graduate or …