ITEM METADATA RECORD
Title: Highly Robust Lost-in-space Algorithm Based On The Shortest Distance Transform
Authors: Delabie, Tjorven ×
Durt, Thomas
Vandersteen, Jeroen #
Issue Date: 1-Aug-2013
Publisher: The Institute
Series Title: Journal of Guidance, Control and Dynamics vol:36 issue:2 pages:476-484
Conference: AIAA Guidance, Navigation and Control location:Portland, OR date:8-11 August 2011
Abstract: A robust and fast algorithm to solve the lost in space problem for star trackers is presented in this paper. The algorithm is based on an image processing technique, the Shortest Distance Transform, which transforms the camera image into a 2D look-up table. The information from the database can then be efficiently passed into this table to compare the camera image with the database. This approach results in an algorithm which is robust to false stars, distortions on star positions and failure of registration of bright stars. As an example we state the correct determination of over 99% of camera images when 400 false stars, distortions of 300 (1σ) arc seconds are present and the brightest star is missing in the image. In case of incorrect determination, a very reliable criterion indicates that the determination step has to be repeated. The robustness of this algorithm can allow the use of star trackers in environments with high radiation. It is also a valuable contribution to the expanding field of small satellite projects where the low-cost camera components are more prone to error and registration of false stars. Small satellites using this algorithm can acquire great functionality at low componentcost.
ISSN: 0731-5090
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Production Engineering, Machine Design and Automation (PMA) Section
Institute of Astronomy
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science