Kalman filters are rooted in the technical literature, as a way of predicting new states in nonlinear systems providing a recursive solution to the problem of linear optimal filtering. Therefore, 56 years after its ...

Recurrent neural networks (RNNs) have been successfully applied to communications channel equalization because of their modeling capability for nonlinear dynamic systems. Major problems of gradient-descent learning techniques ...

Intelligent and autonomous vehicle concepts have received a great degree of attention in recent years. In addition to a set of sensors, actuators, mechanism, and components (hardware and/or software), new technologies ...

This work proposes a localization system for mobile robots using the Extended Kalman Filter. The robot navigates in an known environment where the lines of the floor are used as natural landmarks and identifiqued by using ...

In their original formulations, state estimation schemes such as Kalman Filter, do not allow the incorporation of prior information on their physical bounds. This results in a certain probability of generating estimates ...

The present work provides as main contribution the determination of the position, velocity and attitude of a fixed wing type remotely piloted aircraft (RPA). The integration of MEMS type inercial (Micro-Electro-Mechanical ...