1 citations · 2 across the 3 of their papers we have counts for
3 papers
Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach
Marta Guimarães, Cláudia Soares, Chiara Manfletti
The increasing number of RSOs has raised concerns about the risk of collisions and catastrophic incidents for all direct and indirect users of space. To mitigate this issue, it is…
Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process
Marta Guimarães, Cláudia Soares, Chiara Manfletti
Current approaches for collision avoidance and space traffic management face many challenges, mainly due to the continuous increase in the number of objects in orbit and the lack o…
Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models
Marta Guimarães, Cláudia Soares, Chiara Manfletti
The risk of collision between resident space objects has significantly increased in recent years. As a result, spacecraft collision avoidance procedures have become an essential pa…