Change search
ReferencesLink to record
Permanent link

Direct link
Vision Navigation for Spacecraft Proximity Operations
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

There is a growing interest to implement computer vision systems for space applications. At present, satellites typically require large development costs and involve significant risk of failure to successfully deploy features in orbit, resulting in reduced operational capabilities or a complete malfunction. With large communications satellites costing in excess of $250 million to place in orbit, this could represent extraordinary financial loss. In developing and deploying servicer spacecraft to perform in-orbit reparations, the risk of total, functional failure of satellites could be significantly reduced. This paper proposes a vision-based navigation system for stereo camera-equipped spacecraft to model nearby target bodies to determine their relative pose and position using the Method of Least Squares and Single Value Decomposition methods. The implemented vision techniques are feature-based algorithms developed to accommodate the varying lighting of the space environment while providing foreground-background segmentation from triangulation algorithms. The algorithm was tested on a simulation of an unperturbed rotation satellite situated 30m from the observing spacecraft. The system was capable of developing a sparse 3-dimensional point cloud model as well as calculate the rotational axis - achieving the objective of estimating the relative position and pose of the target spacecraft. Development of the algorithm could provide a step towards providing automated spacecraft with the necessary situational awareness to accurately approach targets for rendezvous and docking operations as well as servicing and repair operations using simple camera setups as opposed to significantly more expensive and complicated methods based on LIDAR and similar technologies.

Place, publisher, year, edition, pages
Keyword [en]
Technology, Pose Estimation, Vision-based navigation, spacecraft proximity, servicing spacecraft, autonomous rendezvous, stereo-vision, feature-detection, feature-tracking, 3-dimensional modeling, spacecraft situational awareness
Keyword [sv]
URN: urn:nbn:se:ltu:diva-56105Local ID: ce904f88-7dad-4aa1-ae88-e098f1e50369OAI: diva2:1029491
Subject / course
Student thesis, at least 30 credits
Educational program
Space Engineering, master's level
Validerat; 20150312 (global_studentproject_submitter)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(74989 kB)1 downloads
File information
File name FULLTEXT02.pdfFile size 74989 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search outside of DiVA

GoogleGoogle Scholar
Total: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 3 hits
ReferencesLink to record
Permanent link

Direct link