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Visual location awareness for mobile robots using feature-based vision

dc.contributor.authorKazeka, Alexander, author
dc.contributor.authorDraper, Bruce A. (Bruce Austin), 1962-, advisor
dc.contributor.authorMaciejewski, Anthony A., committee member
dc.contributor.authorAnderson, Charles W., committee member
dc.date.accessioned2007-01-03T04:39:00Z
dc.date.available2007-01-03T04:39:00Z
dc.date.issued2010
dc.descriptionDepartment Head: L. Darrell Whitley.
dc.description.abstractThis thesis presents an evaluation of feature-based visual recognition paradigm for the task of mobile robot localization. Although many works describe feature-based visual robot localization, they often do so using complex methods for map-building and position estimation which obscure the underlying vision systems' performance. One of the main contributions of this work is the development of an evaluation algorithm employing simple models for location awareness with focus on evaluating the underlying vision system. While SeeAsYou is used as a prototypical vision system for evaluation, the algorithm is designed to allow it to be used with other feature-based vision systems as well. The main result is that feature-based recognition with SeeAsYou provides some information but is not strong enough to reliably achieve location awareness without the temporal context. Adding a simple temporal model, however, suggests a more reliable localization performance.
dc.format.mediummasters theses
dc.identifier2010_Spring_Kazeka_Alexander.pdf
dc.identifierETDF2010100002COMS
dc.identifierTJ211.415.K38 2010
dc.identifier.urihttp://hdl.handle.net/10217/38186
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleVisual location awareness for mobile robots using feature-based vision
dc.typeText
dcterms.rights.dplaThis 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.disciplineComputer Science
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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