most citedSpace Debris Ontology for ADR Capture Methods Selection

20 citations · 30 across the 4 of their papers we have counts for

collaborators

5 papers

econ.GN20226 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.LG20203 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.LG20201 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

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.AI202020 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…