Computer vision tasks are crucial for aerospace missions as they help spacecraft to
understand and interpret the space environment, such as estimating position and …

This paper presents a Convolutional Neural Network (CNN) to simultaneously abstract the
3D structure of the target space resident object and estimate its pose from a single 2D …

Computer vision tasks are crucial for aerospace missions as they help spacecraft to
understand and interpret the space environment, such as estimating position and …

The accelerating deployment of spacecraft in orbit has generated interest in on-orbit
servicing (OOS), inspection of spacecraft, and active debris removal (ADR). Such missions …

We address the estimation of the 6D pose of an unknown target spacecraft relative to a
monocular camera, a key step towards the autonomous rendezvous and proximity …

Non-cooperative spacecraft pose estimation plays a crucial role in on-orbit servicing.
However, existing pose estimation methods often assume CAD models of target objects as …

The escalating risk of collisions and the accumulation of space debris in Low Earth Orbit
(LEO) has reached critical concern due to the ever increasing number of spacecraft …

The proposed 3D reconstruction system is a novel approach that takes a video input and
outputs a high-quality 3D mesh model that can be rendered and viewed through augmented …

Since the launch of Sputnik 1 in 1957, the amount of human-made orbital debris has
increased dramatically. The first two pieces of debris were the rocket stage that launched the …

In recent years, space research has heavily shifted its focus towards enhanced on-board
autonomy for spacecrafts' on-orbit servicing (OOS), which, together with the automatization …