@techreport {pub4140,
	title = {ESA Collision Avoidance Challenge},
	author = {Sebastian Schmitt AND Steffen Limmer AND Nils Einecke AND Viktor Losing AND Sven Rebhan},
	year = {2019},
	month = {December},
	abstract = {Today, active collision avoidance among orbiting satellites has become a routine task in space operations, relying on validated, accurate and timely space surveillance data. For a typical satellite in Low Earth Orbit, hundreds of alerts are issued every week corresponding to possible close encounters between a satellite and another space object (in the form of conjunction data messages CDMs). After automatic processing and filtering, there remain about 2 actionable alerts per spacecraft and week, requiring detailed follow-up by an analyst. On average, at the European Space Agency, more than one collision avoidance manoeuvre is performed per satellite and year.

In this challenge, you are tasked to build a model to predict the final collision risk estimate between a given satellite and a space object (e.g. another satellite, space debris, etc). To do so, you will have access to a database of real-world conjunction data messages (CDMs) carefully prepared at ESA.},
	publisher = {HRI-EU},
	booktitle = {Kelvins - ESA{\textquoteright}s Advanced Concepts Competition Website}
}