CONTE , Francesco

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This paper introduces a new approach to SLAM which combines an Information Filter and a non linear optimizer. The basic idea of the suggested technique is to use the Information Filter when the system non linearities are negligible, and to switch to the use of the non linear optimizer when the non linearities are not negligible. Extensive...

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In this paper it is proposed a new approach to the solution of the classical state estimation problem for a general time-varying perspective system. The solution is achieved by the definition of a virtual output which has the property to convert the original nonlinear output measurement function into a linear time-varying one. This allows the...

This paper proposes a control strategy for managing an aggregate of commercial buildings equipped with Space Cooling Systems (SCSs), called to provide frequency control services to the main grid. The idea is to use the thermal energy stored into buildings to contribute to frequency regulation, during both normal and emergency operating...

This paper proposes a new method for removing noise and blurring from 3D microscopy images. The main contribution is the definition of a space-variant generating model of a 3-D signal, which is capable to stochastically describe a wide class of 3-D images. Unlike other approaches, the spacevariant structure allows the model to consider the...

This paper introduces a new filter for linear continuous-time stochastic systems with delayed measurements. The approach is inspired by an observer designed for deterministic systems. The obtained solution is suboptimal and does not use distributed integration terms with advantages in terms of computational load. The relationship between the...

A new approach to the deconvolution and filtering of 3-D microscopy images is introduced in this paper. A state-space representation of the image is derived according to the assumption that the whole image can be modelled by an ensemble of smooth 3-D Gaussian random fields. Blurring and noise are then easily included in the representation....

In this paper the classical problem of planar tracking is studied. The approach here proposed is based on the idea of considering, as system output, a vector of "virtual" measurements directly obtained from the actual ones. In this way, the measurement map is split into the sum of a linear time-varying transformation of the state and an...

This paper introduces a novel multi-view deconvolution technique for 3-D images. An optimal Kalman-based minimum variance restoration algorithm is allowed to combine a series of image samples acquired from different viewing directions. The extended algorithm is based on the definition of a stochastic state-space representation of the image,...

In this paper it is studied the classical problem of target tracking by a new approach consisting in the treatment of the classical nonlinear measurement process in a form amenable for polynomial filtering without the need of the measure map linearization, as required by other standard sub-optimal algorithms. The main idea is to transfer the...