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Treatment of Epistemic Uncertainty in Conjunction Analysis with Dempster-Shafer Theory
The Dvoretzky-Kiefer-Wolfowitz (DKW) inequality is used to construct robust bounds on such a family of unknown distributions starting from a time series of CDMs.
Hyperspectral Lightcurve Inversion for Attitude Determination
The theoretical and practical aspects of this task are investigated, and the methodology is tested on synthetic data.
Space Object Identification and Classification from Hyperspectral Material Analysis
Two techniques are used for material identification and classification: one based on machine learning and the other based on a least square match with a library of known spectra.
Fast solver for J2-perturbed Lambert problem using deep neural network
The intelligent initial guess generator is a deep neural network that is trained to correct the initial velocity vector coming from the solution of the unperturbed Lambert problem.
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