Multi-view monocular pose estimation for spacecraft relative navigation

Show simple item record Rondao, Duarte Aouf, Nabil 2019-10-31T15:43:20Z 2019-10-31T15:43:20Z 2018-01-07
dc.identifier.citation Rondao D, Aouf N. (2018) Multi-view monocular pose estimation for spacecraft relative navigation. In: 2018 AIAA Guidance Navigation and Control Conference, 8-12 January 2018, Kissimmee, Florida, USA en_UK
dc.description.abstract This paper presents a method of estimating the pose of a non-cooperative target for spacecraft rendezvous applications employing exclusively a monocular camera and a threedimensional model of the target. This model is used to build an offline database of prerendered keyframes with known poses. An online stage solves the model-to-image registration problem by matching two-dimensional point and edge features from the camera to the database. We apply our method to retrieve the motion of the now inoperational satellite ENVISAT. The combination of both feature types is shown to produce a robust pose solution even for large displacements respective to the keyframes which does not rely on real-time rendering, making it attractive for autonomous systems applications. en_UK
dc.language.iso en en_UK
dc.publisher AIAA en_UK
dc.rights Attribution-NonCommercial 4.0 International *
dc.rights.uri *
dc.title Multi-view monocular pose estimation for spacecraft relative navigation en_UK
dc.type Conference paper en_UK

Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International

Search CERES


My Account