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Augmented Reality (AR) applications often require knowledge of the user’s position in some global coordinate system in order to draw the augmented content to its correct position on the screen. The most common ...

Ketteryys avaruusteollisuudessa valottaa ketterien menetelmien käyttöä avaruusteollisuuden hankkeissa. Ennalta määritellyt spesifikaatiot, tiukat laatuvaatimukset ja hajautettu järjestelmäkehitys luovat haasteita ketteryyden ...

The emergence of depth sensors has made it possible to track – not only monocular cues – but also the actual depth values of the environment. This is especially useful in augmented reality solutions, where the position ...

This guide summarizes useful information about the European Space Agency (ESA), the European space industry, the ECSS standards and product assurance for small and medium enterprises that are aiming to enter the ...

This literature review aims to clarify what is known about map matching by using inertial sensors and what are the requirements for map matching, inertial sensors, placement and possible ...

Simplification of highly detailed CAD models is an important step when CAD models are visualized or by other means utilized in augmented reality applications. Without simplification, CAD models may cause severe ...

This report describes TV white space network measurements and trials conducted in Finnish WISE projects during 2011-2014. A TV White Space test network environment was developed and built in Turku, Finland, to ...

Sulautettujen järjestelmien ketterä käsikirja kertoo, mitä ketterät menetelmät ovat ja miten niitä sovelletaan sulautettuja järjestelmiä rakennettaessa. Kirja avaa käytännön tekniikat ja kuvaa tosielämän kokemuksia. ...

An augmented reality (AR) device must know observer’s location and orientation, i.e. observer’s pose, to be able to correctly register the virtual content to observer’s view. One possible way to determine and continuously ...

In this paper, we review the advances of monocular model-based tracking for last ten years period until 2014. In 2005, Lepetit, et. al, [19] reviewed the status of monocular model based rigid body tracking. Since ...