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Topological inference through mobile devices
Author(s) -
Marco Paiva,
Marcelo R. Petry,
Rosaldo J. F. Rossetti
Publication year - 2012
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2245276.2245386
Subject(s) - scalability , computer science , inference , construct (python library) , variety (cybernetics) , distributed computing , simple (philosophy) , topology (electrical circuits) , artificial intelligence , computer network , engineering , database , philosophy , epistemology , electrical engineering
Nowadays location systems are used within a large variety of applications. The application of these systems within indoor environments is already provided by several solutions. However, the need for high accuracy within these environments to pursue such a purpose implies the use of specific infrastructures designed towards it. Our project tries to meet the requirements for a simple, low-cost, and scalable location system through different approaches. The main idea of it is to re-construct topological maps of indoor spaces through location estimation, and to serve as a means of reducing the precision requirements other systems may have to develop a scalable and highly applicable solution.

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