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Subject:
From:
Shijia Pan <[log in to unmask]>
Reply To:
Shijia Pan <[log in to unmask]>
Date:
Mon, 18 Feb 2019 21:51:28 -0500
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Aircraft Localization Competition 2019 - Final Call for Contesters

OVERVIEW

* Date: April 15, 2019
* Place: Montreal, Canada
* *Extended* Registration Deadline: February 22, 2019

[image: image.gif]
* Co-located with ACM/IEEE IPSN and CPS-IoT Week 2019
* Website: https://competition.opensky-network.org
* Student Travel Grants will be available soon
* Cash Prizes up to 13.500,- EUR
* Partners/Sponsors: armasuisse, OpenSky Network, SeRo Systems
* Organisers/Committee:
   - Matthias Schäfer (TU Kaiserslautern/SeRo Systems GmbH, Germany)
   - Martin Strohmeier (University of Oxford, UK/armasuisse, Switzerland)
   - Vincent Lenders (armasuisse, Switzerland)
   - Mauro Leonardi (University of Rome Tor Vergata, Italy)
   - Fabio Ricciato (OpenSky Network, Switzerland)

GOAL OF THE COMPETITION

This competition is about finding the best methods to localize aircraft
based on crowdsourced air traffic control communication data. The data is
collected by the OpenSky Network, a large-scale sensor network which
continuously collects air traffic control data from thousands of aircraft
for research. The goal of the competition is to determine the positions of
all aircraft which do not have position reporting capabilities or may
report wrong locations. To do so, competitors will rely on time of arrival
and signal strength measurements reported by many different sensors.
Although methods like multilateration are long known, this data poses new
challenges because most of the low-cost sensors are not
time synchronized or calibrated. Competitors will, therefore, have to face
different kinds of noise, ranging from clock drifts, inaccurate sensor
locations, or broken timestamps due to software bugs.

ELIGIBILITY

We encourage both individuals and teams from academia and industry to
register and participate. We strongly emphasize our openness towards novel
approaches (such as machine learning) but also allow competitors to adapt
their "traditional" localization models to the peculiarities of the
crowdsourced measurement data. The localization algorithms should be able
to produce decent results from a fresh 1h data set (~1 GB CSV) in under 3
hours.

CATEGORIES

Competitors can choose between four levels of increasing difficulty. The
easiest category deals with data from GPS-synchronised receivers only and
the competitors are provided with the barometric altitude of the aircraft.
In this category, competitors do not have to deal with clock drifts and can
limit the effect of a bad vertical dilution of precision by additionally
considering the barometric altitude of the target. Category 2 competitors
will also have GPS-synchronised data, however, no information about the
target’s altitude will be available. Category 3 and 4 competitors will face
data from both GPS-synchronised and unsynchronised sensors. In addition,
category 3 data sets will include the barometric altitude.

COMPETITION EXECUTION

Competitors are provided with labeled training datasets which include all
aircraft location. These labeled data sets can be used by the contesters to
train their models. At the competition day, each team has to send at least
1 team member to the conference where they will get access to
a non-labeled evaluation data sets. The teams have then 9h to find all
locations of aircraft that are missing location information in the data
sets. Every 3 hours, the teams have to submit their intermediate results
(as a CSV file) to the organizers. The organizers will then calculate an
indicator of the accuracy of their solution and provide an intermediate
ranking. After 9 hours, the teams submit their final results and the final
ranking is determined.

EVALUATION AND PRIZE

On the competition day (April 15), all teams have to submit their
intermediate results to the organizers every three hours. These
intermediate results will then be rated using an objective error metric
and the scores will be published. The teams can then continue to improve
their results, e.g., by further pre-filtering the data or improving
their models ad hoc. The leading teams of each intermediate evaluation
(i.e. after 3h and 6h) will receive increasing cash awards. The awards will
reach their maximum at the 9h deadline when all teams have to submit their
final results. The best 3 teams of each category will also receive cash
prizes for their final results. The cash prizes are scaled with the level
of competition and the difficulty of the category. This means that the more
competitors and the higher the difficulty in a category, the higher the
prizes. The exact pricing can be found on our website:
https://competition.opensky-network.org/competition.html#awards

The teams with the best final results (after 9h) of each category will have
to present their solutions in a short presentation at the conference. In
addition, all teams who won cash awards (intermediate or
final prizes) will have to publish their code under the GNU GPLv3 on the
OpenSky Network's GitHub account. Teams that do not want to publish their
code are not eligible for awards. This means that closed-source
solution can also compete but they will not be eligible for cash prizes.

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