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Type: Conference paper
Title: Star tracking using an event camera
Author: Chin, T.J.
Bagchi, S.
Eriksson, A.
Van Schaik, A.
Citation: Conference on Computer Vision and Pattern Recognition Workshops IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops, 2019, vol.2019-June, pp.1646-1655
Publisher: IEEE
Publisher Place: online
Issue Date: 2019
Series/Report no.: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISBN: 9781728125060
ISSN: 2160-7508
Conference Name: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (16 Jun 2019 - 17 Jun 2019 : Long Beach, USA)
Statement of
Tat-Jun Chin, Samya Bagchi, Anders Eriksson, André van Schaik
Abstract: Star trackers are primarily optical devices that are used to estimate the attitude of a spacecraft by recognising and tracking star patterns. Currently, most star trackers use conventional optical sensors. In this application paper, we propose the usage of event sensors for star tracking. There are potentially two benefits of using event sensors for star tracking: lower power consumption and higher operating speeds. Our main contribution is to formulate an algorithmic pipeline for star tracking from event data that includes novel formulations of rotation averaging and bundle adjustment. In addition, we also release with this paper a dataset for star tracking using event cameras. With this work, we introduce the problem of star tracking using event cameras to the computer vision community, whose expertise in SLAM and geometric optimisation can be brought to bear on this commercially important application.
Rights: ©2019 IEEE
DOI: 10.1109/CVPRW.2019.00208
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