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dc.contributor.advisor Spanos, Pol D
dc.contributor.advisor Woffinden, Dave C
dc.creatorBader, Nolan A.
dc.date.accessioned 2017-08-07T17:46:47Z
dc.date.available 2017-08-07T17:46:47Z
dc.date.created 2016-05
dc.date.issued 2016-04-22
dc.date.submitted May 2016
dc.identifier.citation Bader, Nolan A.. "Autonomous Vision Navigation of Spacecraft in Lunar Orbit." (2016) Master’s Thesis, Rice University. https://hdl.handle.net/1911/96609.
dc.identifier.urihttps://hdl.handle.net/1911/96609
dc.description.abstract NASA aims to achieve unprecedented navigational reliability for the first manned lunar mission of the Orion spacecraft in 2023. A technique for accomplishing this is to integrate autonomous feature tracking as an added means of improving position and velocity estimation. In this thesis, a template matching algorithm and optical sensor are tested onboard three simulated lunar trajectories using linear covariance techniques under various conditions. A preliminary characterization of the camera gives insight into its ability to determine azimuth and elevation angles to points on the surface of the Moon. A navigation performance analysis shows that an optical camera sensor can aid in decreasing position and velocity errors, particularly in a loss of communication scenario. Furthermore, it is found that camera quality and computational capability are driving factors affecting the performance of such a system.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectvision
navigation
lunar
linear covariance
feature tracking
template matching
orion
dc.title Autonomous Vision Navigation of Spacecraft in Lunar Orbit
dc.date.updated 2017-08-07T17:46:47Z
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Mechanical Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
thesis.degree.major Aerospace Engineering


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