@inproceedings{e5840d2241a9488db171364beb721a01,
title = "Computer vision and computational intelligence for real-time multi-modal space domain awareness",
abstract = "This paper presents a computer vision and computational intelligence approach to space domain awareness. The approach is specifically designed to produce probabilistic density functions and state estimates in real-time for objects within the domain. PDFs are also generated for regions where there are no objects, and where there is insufficient information to assert object existence. The approach is dynamic and naturally adapts to changes of state to include maneuvering objects. The processing speed of the approach is independent of the number of objects, instead only dependent on the size of the domain, the accuracy desired in all dimensions, and the computational architecture.",
author = "Mark Bolden and Paul Schumacher and David Spencer and Islam Hussein and Matthew Wilkins and Christopher Roscoe",
year = "2017",
language = "English (US)",
isbn = "9780877036371",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc.",
pages = "2165--2178",
editor = "Sims, {Jon A.} and Leve, {Frederick A.} and McMahon, {Jay W.} and Yanping Guo",
booktitle = "Spaceflight Mechanics 2017",
address = "United States",
note = "27th AAS/AIAA Space Flight Mechanics Meeting, 2017 ; Conference date: 05-02-2017 Through 09-02-2017",
}