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Fingerprinting localization techniques provide reliable location estimates and enable the development of location aware applications especially for indoor environments, where satellite based positioning is infeasible. In our approach we utilize Received Signal Strength (RSS) fingerprints collected in known locations and employ a Radial Basis Function (RBF)(More)
Geographical user distribution and mobility have an important effect on cellular network capacity. Dynamic network simulations intended for studying e.g. resource management techniques in cellular networks require flexible and practical models for user distribution and mobility. This paper presents a model that is suitable for implementation and support for(More)
Provision of accurate and reliable location estimates is the key issue for the proliferation of indoor location oriented services and applications. Our positioning method is based on Radial Basis Function (RBF) networks and we exploit Received Signal Strength (RSS) measurements from several WLAN Access Points (AP). We incorporate the RSS covariance matrix(More)
We implemented a mobile AR system for building maintenance workers based on participatory design of the system requirements. The technical implementation relies on hybrid tracking, combining computer vision tools, sensors and indoors locationing. The application was tested in a pilot case by end-users in field tests, where the users were able to evaluate(More)
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