On the use of Machine Learning and Evidence Theory to improve collision risk management-Reference-Cited by-同舟云学术

On the use of Machine Learning and Evidence Theory to improve collision risk management

Published:2021-04 Issue: Volume:181 Page:694-706
ISSN:0094-5765
Container-title:Acta Astronautica
language:en
Short-container-title:Acta Astronautica

Author:

Sánchez Fernández-Mellado Luis^ORCID,Vasile Massimiliano

Funder

University of Strathclyde

Royal Aeronautical Society

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference31 articles.

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5. V. BenjaminBastida, T. Flohrer, H. Krag, K. Merz, S. Lemmens, CREAM - ESA’s proposal for collision risk estimation and automated mitigation, in: 1st International Orbital Debris Conference, Sugar Land, Texas, USA, 2019.

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