On-board vision-based spacecraft estimation algorithm for small body exploration

Author

Bayard, David S. ; Brugarolas, Paul B.

Author_Institution

Jet Propulsion Lab., Pasadena

Volume

44

Issue

1

fYear

2008

fDate

1/1/2008 12:00:00 AM

Firstpage

243

Lastpage

260

Abstract

A methodology is summarized for designing on-board state estimators in support of spacecraft exploration of small bodies such as asteroids and comets. This paper focuses on an estimation algorithm that incorporates two basic computer-vision measurement types: a landmark table (LMT) and a paired feature table (PFT). Several innovations are developed to incorporate these measurement types into the on-board state estimation algorithm. Simulations are provided to demonstrate the feasibility of the approach.

Keywords

aerospace computing; aerospace simulation; asteroids; comets; computer vision; space vehicles; state estimation; asteroids; comets; computer-vision measurement; landmark table; on-board state estimators; on-board vision-based spacecraft estimation algorithm; paired feature table; small body exploration; spacecraft exploration; Algorithm design and analysis; Current measurement; Extraterrestrial measurements; Laboratories; Machine vision; Propulsion; Recursive estimation; Space technology; Space vehicles; State estimation;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2008.4517002

Filename

4517002