Project description
Future Internet Research and Experimentation (FIRE)
The EVARILOS project addresses one of the major problems of indoor localization research: The pitfall to reproduce research results in real life scenarios suffering from uncontrolled RF interference and the weakness of numerous published solutions being evaluated under individual, not comparable and not repeatable conditions.Accurate and robust indoor localization is a key enabler for context-aware Future Internet applications, whereby robust means that the localization solutions should perform well in diverse physical indoor environments under realistic RF interference conditions. The objectives of the EVARILOS project are: Firstly, EVARILOS will develop a benchmarking methodology enabling objective experimental validation of and fair comparison between state-of-the art indoor localization solutions.Contrary to previous approaches, the EVARILOS benchmarking methodology not only considers accuracy metrics, but also complexity, cost, energy, and, most importantly, RF interference robustness metrics.Next the project aims to improve the interference robustness of state-of-the art localization solutions through (a) introducing multimodal approaches leveraging the diversity of different localization methods; (b) introducing environmental awareness and cognitive features; (c) by leveraging the presence of external interference. Thirdly, the EVARILOS benchmarking methodology and interference-robust localization solutions will be validated in two real-life application scenarios: healthcare in a hospital setting and underground mining safety. The main outcomes of the project are a public handbook on the use of the EVARILOS benchmarking methodology and the EVARILOS benchmarking suite. The latter will be implemented it two different testbeds belonging to the FIRE facilities (CREW and OpenLab) and will be publically available under open source licenses. We will further issue an open challenge for the best localization solution to promote the EVARILOS benchmarking methodology.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Call for proposal
FP7-ICT-2011-8
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Funding Scheme
CP - Collaborative project (generic)Coordinator
10623 Berlin
Germany