Stanford University and the European Space Agency (ESA) aim to use AI to track the position and orientation of satellites drifting through space. The organisations have launched a competition through the ESA's advanced concepts team, challenging AI specialists to develop algorithms that can provide accurate information on the state of a satellite from a single observation. In order for this project to succeed, it will need to be able to accurately determine the location of an object in space using only one observation – something which is currently not possible.
Stanford University and the European Space Agency (ESA) aim to use AI to track the position and orientation of satellites drifting through space. The organisations have launched a competition through the ESA's advanced concepts team, challenging AI specialists to develop algorithms that can provide accurate information on the state of a satellite from a single observation. The organisations will supply teams working on the project with around 15,000 synthetic images and an additional 1,000 actual images of satellites, which can be used to develop machine learning programmes.