Navigation, mapping, and tracking are state estimation problems relevant to a wide range of applications. These problems have traditionally been formulated using random vectors in stochastic filtering, smoothing, or ...

Having a good estimation of the robot-players positions is becoming imperative to accomplish high level tasks in any RoboCup League. Classical approaches use a vector representation of the robot positions and Bayesian ...

Esta tesis se enfoca en resolver el problema del multi-target tracking en ambientes altamente dinámicos, y utilizando robots que poseen baja capacidad de procesamiento y sensores limi- tados. Para esto se utiliza un nuevo ...

Este trabajo trata sobre el diseño e implementación de un sistema de Localización y Mapeo Simultáneo (SLAM) visual usando la teoría de Conjuntos Finitos Aleatorios (RFS), en el que un navegador (e.g. robot, auto, teléfono ...

Predictability is related to the uncertainty in the outcome of future events during the evolution of the state of a system. The cluster weighted modeling (CWM) is interpreted as a tool to detect such an uncertainty and ...

This paper introduces and addresses the implementation of the Multi-Bernoulli Poisson (MBP) filter in multi-target tracking. A performance evaluation in a real scenario, in which a 3D lidar, automotive radar and a video ...