Kalman Filter (KF) that is also known as linear quadratic estimation filter estimates current
states of a system through time as recursive using input measurements in mathematical …

Attitude estimation is the process of computing the orientation angles of an object with
respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are …

A Bayes filter is a widely used estimation algorithm, but it has inherent limitations.
Performance can degrade when the dynamics are highly nonlinear or when the probability …

The integrated navigation system consisting of an inertial navigation system (INS) and
Global Navigation Satellite System (GNSS) provides continuous high-accuracy positioning …

Attitude estimation plays a major role in the autonomy of unmanned aerial vehicles and
requires fusion of different sensor measurements. This paper describes an adaptive …

The key to successful positioning of autonomous mobile robots in complicated indoor
environments lies in the strong anti-interference of the positioning system and accurate …

This paper presents a novel method for attitude estimation of an object in 3D space by
incremental learning of the Long-Short Term Memory (LSTM) network. Gyroscope …

Kalman Filters (KF) is a recursive estimation algorithm, a special case of Bayesian
estimators under Gaussian, linear and quadratic conditions. For non-linear systems …

Attitude estimation is one of the core frame-works used for navigating an unmanned aerial
vehicle from one place to the other. This paper presents an Euler-based non-linear …

In physical therapy, exercises improve range of motion, muscle strength, and flexibility,
where motion-tracking devices record motion data during exercises to improve treatment …