Experimental study of spacecraft pose estimation algorithm using vision-based sensor

Jeonghoon Hyun, Youngho Eun, Sang Young Park

Research output: Contribution to journalArticle

Abstract

This paper presents a vision-based relative pose estimation algorithm and its validation through both numerical and hardware experiments. The algorithm and the hardware system were simultaneously designed considering actual experimental conditions. Two estimation techniques were utilized to estimate relative pose; one was a nonlinear least square method for initial estimation, and the other was an extended Kalman Filter for subsequent on-line estimation. A measurement model of the vision sensor and equations of motion including nonlinear perturbations were utilized in the estimation process. Numerical simulations were performed and analyzed for both the autonomous docking and formation flying scenarios. A configuration of LED-based beacons was designed to avoid measurement singularity, and its structural information was implemented in the estimation algorithm. The proposed algorithm was verified again in the experimental environment by using the Autonomous Spacecraft Test Environment for Rendezvous In proXimity (ASTERIX) facility. Additionally, a laser distance meter was added to the estimation algorithm to improve the relative position estimation accuracy. Throughout this study, the performance required for autonomous docking could be presented by confirming the change in estimation accuracy with respect to the level of measurement error. In addition, hardware experiments confirmed the effectiveness of the suggested algorithm and its applicability to actual tasks in the real world.

Original languageEnglish
Pages (from-to)263-277
Number of pages15
JournalJournal of Astronomy and Space Sciences
Volume35
Issue number4
DOIs
Publication statusPublished - 2018 Dec 1

Fingerprint

spacecraft
experimental study
sensor
autonomous docking
sensors
hardware
formation flying
rendezvous
beacons
Kalman filters
least squares method
Kalman filter
proximity
equations of motion
light emitting diodes
experiment
laser
perturbation
flight
estimates

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)
  • Earth and Planetary Sciences(all)

Cite this

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Experimental study of spacecraft pose estimation algorithm using vision-based sensor. / Hyun, Jeonghoon; Eun, Youngho; Park, Sang Young.

In: Journal of Astronomy and Space Sciences, Vol. 35, No. 4, 01.12.2018, p. 263-277.

Research output: Contribution to journalArticle

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