Deep-learning algorithms helping to clear space junk from our skies
Published Date: 10/30/2020
Source: phys.org
How do you measure the pose—that is the 3-D rotation and 3-D translation—of a piece of space junk so that a grasping satellite can capture it in real time in order to successfully remove it from Earth's orbit? What role will deep learning algorithms play? And, what is real time in space? These are some of the questions being tackled in a ground-breaking project, led by EPFL spin-off, ClearSpace, to develop technologies to capture and deorbit space debris.