The Center for Education and Research in Information Assurance and Security (CERIAS)
The Center for Education and Research inInformation Assurance and Security (CERIAS)
Principal Investigator: Carolin Frueh
Light Curves are an easy and cheap way of collecting information on very distant objects, for which no resolved imaging can be acquired. For autonomous object recognition, light curve inversion is used to extract shape information from non-resolved imagery. The mathematical foundation is explored to find robust formulations for reliable shape inversion for realistic human-made objects, which include sharp edges and concavities.
Other Faculty: Vladimir Oliker, Emory University
Students: Alexander Burton Liam Robinson
A. Buzzoni, D. Koschny, G. Drolshagen, E. Perozzi, O. Hainaut, S. Lemmens, G. Altavilla, I. Foppiani, J. Nomen, N. S?nchez-Ortiz, W. Marinello, G. Pizzetti, A. Soffiantini, S. Fan, C. Frueh, The observing campaign on the deep-space debris WT1190F as a test case for short-warning NEO impacts, Icarus, Vol. 304, pp. 4-8, doi:10.1016/j.icarus.2017.10.006, 2017
S. Fan, C. Frueh, A Direct Light Curve Inversion Scheme and the Influence of Measurement Noise, Journal of Astronautical Science, submitted 2018
L. Robinson, C. Frueh, Light Curve Inversion for Reliable Shape-Reconstruction of Human-Made Space Objects, AAS/AIAA Astrodynamics Specialist Conference, Charlotte, North Carolina, August 7-11, 2022
Keywords: light curve inversion, non-resolved imaging