The last two decades have witnessed a rich variety of indoor positioning and localization
research. Starting with Microsoft Research pioneering the fingerprint approach based …

Indoor localization technologies hold promise for many ambient intelligence applications,
including in-situ navigational assistance for individuals with wayfinding difficulties. Given …

Local feature matching has become a commonly used method to compare images. For
mobile robots, a reliable method for comparing images can constitute a key component for …

This paper describes a similarity measure for images which can be used in image-based
topological localization and topological SLAM problems by autonomous robots with low …

Positioning within indoor environments is one of the major challenges facing many different
applications. It has become necessary to find algorithms and systems capable of locating a …

During the last years the applications of Computer Vision have increased greatly in many
different contexts, owing to the availability of more and more powerful hardware. However, in …

This paper describes a similarity measure for images to be used in image-based localization
for autonomous robots with low computational resources. We propose a novel signature to …

Localizing users and devices in an in-door environment remains an unsolved practical
problem, particularly if sub-meter accuracy and ubiquitous hardware are constraints of the …

Abstract In robotics the Simultaneous Localization and Mapping (SLAM) is the problem in
which an autonomous robots acquires a map of the surrounding environment while at the …

Mediated reality and location awareness to facilitate topographical orientation by Jorge
Torres-Solis A thesis submitted in conf Page 1 Mediated reality and location awareness to …