In this paper, we propose a novel accurate method for dead-reckoning of wheeled vehicles
based only on an Inertial Measurement Unit (IMU). In the context of intelligent vehicles …

Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …

The Kalman filter is the minimum-variance state estimator for linear dynamic systems with
Gaussian noise. Even if the noise is non-Gaussian, the Kalman filter is the best linear …

This is the first part of a comprehensive and up-to-date survey of the techniques for tracking
maneuvering targets without addressing the so-called measurement-origin uncertainty. It …

Performance evaluation (PE) plays a key role in the design and validation of any target-
tracking algorithms. In fact, it is often closely related to the definition and derivation of the …

This is the third part of a series of papers that provide a comprehensive survey of the
techniques for tracking maneuvering targets without addressing the so-called measurement …

The state space description of some physical systems possess nonlinear equality
constraints between some state variables. In this paper, we consider the problem of applying …

In this paper, the set-membership filtering problem is investigated for a class of piecewise
linear systems with state constraintsand censored measurements under the Round-Robin …

This is the first part of a series of papers that provide a comprehensive and up-to-date survey
of the problems and techniques of tracking maneuvering targets in the absence of the so …

The improvement in Maritime Situational Awareness (MSA), or the capability of
understanding events, circumstances and activities within and impacting the maritime …