EKF-SLAM based approach for spacecraft rendezvous navigation with unknown target spacecraft

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

An essential subtask for performing autonomous on-orbit servicing is the relative navigation between the approaching spacecraft and the target spacecraft. Camera based solutions can be cheap and lightweight and have low power consumption, but they need adequate estimation algorithms. In mobile robotics many approaches for camera based autonomous navigation have been developed so far. We present an approach for vision based autonomous relative spacecraft rendezvous navigation between a chaser and an uncooperative and unknown target based on simultaneous localization and mapping algorithms (SLAM) concepts. The paper outlines the general concept and details the mathematical formulation for stereo image observables. Performance results are shown based on simulation experiments.

Details

Original languageEnglish
Title of host publication18th IFAC Symposium on Automatic Control in Aerospace, ACA 2010 - Proceedings
PublisherIFAC Secretariat
Pages339-344
Number of pages6
ISBN (print)9783902661968
Publication statusPublished - 2010
Peer-reviewedYes

Publication series

SeriesIFAC Proceedings Volumes
Number15
Volume43
ISSN1474-6670

Conference

Title18th IFAC Symposium on Automatic Control in Aerospace
Abbreviated titleACA’10
Conference number18
Duration6 - 10 September 2010
Degree of recognitionInternational event
CityNara
CountryJapan

External IDs

Scopus 84901609448

Keywords

Keywords

  • Autonomous, Extended Kalman filters, Navigation, On-orbit servicing, Rendezvous, Robotics, Simultaneous localization and mapping (SLAM)