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Titlebook: Indoor Location-Based Services; Prerequisites and Fo Martin Werner Book 2014 Springer International Publishing Switzerland 2014 Allocation

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Trajectory Computing, further generalize positioning systems to assign location trajectories (sequences of locations) to measurement trajectories (sequences of measurements). This chapter will provide basic and advanced algorithms and results from this domain and explain their impact for indoor location-based services,
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Event Detection for Indoor LBS, etc.), inside buildings much more events can become relevant and many applications have to rely on a different technology to find these events. The most prevalent example is that the performance of Wi-Fi localization is pretty good in two-dimensional space, but can have difficulties to determine th
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Simultaneous Localization and Mapping in Buildings,e. SLAM algorithms rely on many elementary algorithms such as feature point tracking, loop detection, random sample consensus, surface simplification, and more. This chapter aims to bring together a closed exposition of these algorithms and their application inside buildings.
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Book 2014lated domains including geometry, artificial intelligence, statistics, cooperative algorithms, and distributed systems and thus provides an accessible overview of fundamental methods and technologies. This makes it an ideal starting point for researchers, students, and professionals in pervasive com
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Introduction,n-based services is given. These examples intend to describe the various requirements, which motivate different algorithms and systems covered in the main part of the book. Finally, the structure of the book gets explained.
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