Pose estimation of Didymos' moon using CNN-based image processing algorithm for HERA mission

Kaluthantrige, Aurelio and Feng, J. and Gil-Fernández, J. (2023) Pose estimation of Didymos' moon using CNN-based image processing algorithm for HERA mission. In: 8th IAA Planetary Defense Conference (PDC) 2023, 2023-04-03 - 2023-04-07.

[thumbnail of Kaluthantrige-etal-PDC-2023-Pose-estimation-of-Didymos-moon-using-CNN-based-image-processing-algorithm]
Preview
 Text. Filename: Kaluthantrige_etal_PDC_2023_Pose_estimation_of_Didymos_moon_using_CNN_based_image_processing_algorithm.pdf
Final Published Version
License: Strathprints license 1.0
Download (1MB)| Preview

Abstract

In this work we develop an appearance-based methodology to estimate the continuous pose (attitude) of Dimorphos during the COP using a Convolutional Neural Networks (CNN)-based Image Processing (IP) algorithm. The key of the developed algorithm is to leverage the lit limb of the secondary to estimate the quaternions representing the orientation of Dimorphos with respect to the spacecraft. By relying on the shape of the target, the developed algorithm is not constrained on the prior knowledge of the spinning state of the target and on the visibility of features on the surface of the target.

CORE (COnnecting REpositories)