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Evaluation Opportunites ‐ Invitation

Evaluate your Indoor Localization Algorithms and Solutions

The EVARILOS consortium is pleased to announce a continuous opportunity for evaluating RF-based indoor localization algorithms and solutions using the methodology and infrastructure developed in the scope of the project.
The EVARILOS facilities are open to anyone from academia and industry, potential users and contributors.

The opportunity to get your solution evaluated in one or both of the following settings is open until the end of the project:

TRACK 1: Turn-key RF-based indoor localization solutions, tested on-site at iMinds, Ghent, Belgium

TRACK 2: RF-based indoor localization algorithms, tested via remote access to test facilities at TU Berlin, Germany

Please note that the access to the testbed resources in Track 2 is currently limited due to building reconstruction work. Please contact Vlado Handziski (handzisk@tkn.tu-berlin.de) or Filip Lemić (lemic@tkn.tu-berlin.de) for more details.

Track 1 focuses on benchmarking of complete localization solutions. The participants will have the opportunity to install additional hardware and software at the iMinds test facility in Ghent, Belgium. Available contexts include an office environment and an enclosed open space. The candidate systems have to be either RF-based, or in case of multimodal systems, they have to possess a strong RF-based component. Hybrid systems where other technologies are used such as infrared, ultrasound, RFID, or other are also allowed.

Technical Annex Track 1Acrobat PDF
Contact Track 1:
Eli De Poorter ‐ eli.depoorter@intec.ugent.be

Track 2 offers remote evaluation of RF-based indoor localization algorithms ‐ No traveling is needed in case of pursuing this option. Evaluation opportunities under influence of different RF-interference scenarios are also supported. The participating localization algorithms have to be implemented on top of the existing hardware resources available at the EVARILOS experimental facilities at TU Berlin, including large number of IEEE 802.11g/n access points and IEEE 802.15.4 sensor nodes, deployed in a typical multi-floor office space context.

Technical Annex Track 2Acrobat PDF
Contact Track 2:
Vlado Handziski ‐ handzisk@tkn.tu-berlin.de
Filip Lemić ‐ lemic@tkn.tu-berlin.de

The evaluation criteria for these experimentations, constraints on the accepted technologies, and a description of the benchmarks are detailed in the technical annexes. The participants will be requested to interface their systems with the measurement tools that has been developed during the project. To this purpose there will be a shepherding phase in which the EVARILOS organizers will support experimenters to implement this integration.

We expect the participants to agree to publish data collected during the experiments on the EVARILOS website in the scope agreed with the organizers (under anonymity if required).

Requests for covering parts of travel costs or similar expenses supporting the participation at the tests will be individually evaluated and decided on case-by-case basis.

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Report on the results of the real-life experiments in the validation scenarios is available

Report on final results of interference robust localization is available

Final Version of the EVARILOS Benchmarking Handbook is available

Evaluation Opportunities ‐ Technical Annex Track 1 Acrobat PDF Track 2 Acrobat PDF

Open Challenge ‐ Announcement of Winners

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FIRE web site

FIRE - Brochure (2015)

Next events:
IPSN 2016
11‐14 April, 2016, Vienna
Net Futures 2015
20‐21 April, 2016, Brussels
ICC 2016
23‐27 May, 2016, Kuala Lumpur
IoT Week 2016
31 May‐2 June, 2016, Belgrade
EuCNC 2016
27‐30 June, 2016, Athens
IPIN 2016
4‐7 October, 2016, Madrid

EVARILOS Start: 1.11.2020
Project duration: 30 month
Contract Nr: 317989
EC Contribution: 1.379.944€
Participants: TUB, ADV, iMinds, SICS, THC
Project Fiche Acrobat PDF

This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 317989.