Joint shape and motion estimation from echo-based sensor data
dc.contributor.author | Pine, Samuel J., author | |
dc.contributor.author | Cheney, Margaret, advisor | |
dc.contributor.author | Bates, Daniel, committee member | |
dc.contributor.author | Fosdick, Bailey, committee member | |
dc.contributor.author | Peterson, Christopher, committee member | |
dc.date.accessioned | 2019-01-07T17:19:30Z | |
dc.date.available | 2019-01-07T17:19:30Z | |
dc.date.available | 2019-01-07T17:19:30Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Given a set of time-series data collected from echo-based ranging sensors, we study the problem of jointly estimating the shape and motion of the target under observation when the sensor positions are also unknown. Using an approach first described by Stuff et al., we model the target as a point configuration in Euclidean space and estimate geometric invariants of the configuration. The geometric invariants allow us to estimate the target shape, from which we can estimate the motion of the target relative to the sensor position. This work will unify the various geometric- invariant based shape and motion estimation literature under a common framework, and extend that framework to include results for passive, bistatic sensor systems. | |
dc.format.medium | born digital | |
dc.format.medium | doctoral dissertations | |
dc.identifier | Pine_colostate_0053A_15201.pdf | |
dc.identifier.uri | https://hdl.handle.net/10217/193166 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | 2000-2019 | |
dc.rights.license | This material is open access and distributed under the terms and conditions of the Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication. | |
dc.rights.uri | https://creativecommons.org/publicdomain/zero/1.0/ | |
dc.subject | radar | |
dc.subject | signal processing | |
dc.subject | shape from motion | |
dc.subject | invariant | |
dc.title | Joint shape and motion estimation from echo-based sensor data | |
dc.type | Text | |
dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
thesis.degree.discipline | Mathematics | |
thesis.degree.grantor | Colorado State University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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