Multi-view monocular pose estimation for spacecraft relative navigation

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dc.contributor.authorRondao, Duarte
dc.contributor.authorAouf, Nabil
dc.date.accessioned2019-10-31T15:43:20Z
dc.date.available2019-10-31T15:43:20Z
dc.date.issued2018-01-07
dc.description.abstractThis 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.identifier.citationRondao 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, USAen_UK
dc.identifier.urihttps://doi.org/10.2514/6.2018-2100
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14662
dc.language.isoenen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleMulti-view monocular pose estimation for spacecraft relative navigationen_UK
dc.typeConference paperen_UK

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