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High quality road and track maps are an important factor in vehicle localization, since it allows for non-linear localization algorithms, such as Particle Filter and Extended Kalman Filter, to be run with over-the-shelf mobile sensing products. The current paper studies and experiments with a low-cost methodology of annotating open-source topological maps, with large quantities of crowd sourced sensor...
The current paper presents a methodology for generating kinematic sensor maps of train journeys on railway tracks, by using a crowdsourced approach to data collection. In order to create uniform data representation and accuracy oriented maps of railway tracks, different concepts relating to satellite imagery analysis belonging to the domain Earth Sciences have been used. Additionally by optimizing...
The current paper presents a conceptual architecture of a distributed train localization solution based on GNSS(Global Navigation Satellite System) and inertial sensors. The requirements attached to this application are stringent, due to the fact that they need to prove safety of life. Additionally this solution proposes a cost efficient hardware and software configuration which allows deployment...
Earth Science applications are more and more present into our daily lives. Even if we talk about complex use cases (e.g. weather prediction, large geographic areas classification, etc.) or simple operations (e.g. relevant information extraction from a predefined data set) that are performed by regular users in different purposes, today's GIS application have to be scalable enough to process these...
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