most citedSpace Debris Ontology for ADR Capture Methods Selection

20 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

econ.GN2022★ 6 cited

An integrated debris environment assessment model

Akhil Rao, Francesca Letizia

Launch behaviors are a key determinant of the orbital environment. Physical and economic forces such as fragmentations and changing launch costs, or policies like post-mission disp…

cs.LG2020★ 3 cited

Towards Automated Satellite Conjunction Management with Bayesian Deep Learning

Francesco Pinto, Giacomo Acciarini, Sascha Metz +7

After decades of space travel, low Earth orbit is a junkyard of discarded rocket bodies, dead satellites, and millions of pieces of debris from collisions and explosions. Objects i…

cs.LG2020★ 1 cited

Spacecraft Collision Risk Assessment with Probabilistic Programming

Giacomo Acciarini, Francesco Pinto, Sascha Metz +7

Over 34,000 objects bigger than 10 cm in length are known to orbit Earth. Among them, only a small percentage are active satellites, while the rest of the population is made of dea…

cs.LG2020★ 1 cited

Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition

Thomas Uriot, Dario Izzo, Luís F. Sim{õ}es +7

Spacecraft collision avoidance procedures have become an essential part of satellite operations. Complex and constantly updated estimates of the collision risk between orbiting obj…

cs.AI2020★ 20 cited

Space Debris Ontology for ADR Capture Methods Selection

Marko Jankovic, Mehmed Yüksel, Mohammad Mohammadzadeh Babr +2

Studies have concluded that active debris removal (ADR) of the existing in-orbit mass is necessary. However, the quest for an optimal solution does not have a unique answer and the…