Multi-Epoch 3D-Mapping-Aided Positioning using Bayesian Filtering Techniques

Using Personality Recognition Techniques to Improve Bayesian Spam Filtering

Millions of users per day are affected by unsolicited email campaigns. During the last years several techniques to detect spam have been developed, achieving specially good results using machine learning algorithms. In this work we provide a baseline for a new spam filtering method. Carrying out this research we validate our hypothesis that personality recognition techniques can help in Bayesia...

Multi-floor Indoor Positioning System Using Bayesian Graphical Models

In recent years, location determination systems have gained a high importance due to their rule in the context aware systems. In this paper, we will design a multi-floor indoor positioning system based on Bayesian Graphical Models (BGM). Graphical models have a great flexibility on visualizing the relationships between random variables. Rather than using one sampling technique, we are going to ...

Enhancing GNSS Positioning with 3D Mapping

The number of global navigation satellite systems (GNSS) signals that can be received in dense urban areas has increased through the availability of multiple satellite constellations and high sensitivity receivers. However, in these constrained environments, the blockage and reflection of many of the signals by buildings and other obstacles means that poor positioning accuracy remains a problem...

Collaborative Filtering for Multi-Class Data Using Bayesian Networks

A Multi-Camera Conical Imaging System for Robust 3D Motion Estimation, Positioning and Mapping from UAVs

Over the last decade, there has been an increasing interest in developing vision systems and technologies that support the operation of unmanned platforms for positioning, mapping, and navigation. Until very recently, these developments rely on images from standard CCD cameras with a single optical center and limited field of view, making them restrictive for some applications. Panoramic images...