Synchronization of an inertial measurement unit and standalone camera system based on attitude and optical flow data

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dc.contributor.authorArnold, Lee Anthony
dc.date.accessioned2016-02-19T22:43:07Z
dc.date.available2016-02-19T22:43:07Z
dc.date.issued2012-08
dc.description.abstractThe fusion of camera and inertial data is well established and useful for a wide range of tasks. With advancements in camera technology and renewed interest in computer vision, standalone cameras have emerged as a possible research tool. These cameras offer high quality video recording, in a small, lightweight form factor, but are limited by connectivity, thus limiting their usefulness. This thesis presents a software correlation method which correlates inertial data and camera data based on attitude estimates, eliminating the need for additional hardware or connections. This thesis presents a brief background and description of the correlation process, along with a review of similar work. The underlying methods for feature detection, optical flow, and signal comparison are explained in detail in the context of the software correlation method. The software correlation method is then demonstrated in an experiment that looks at a single axis of rotation. Finally, the error in the software correlation process is quantified and compared to that in an uncorrelated system. Software correlation proves to be a viable option for the correlation of inertial measurement units and standalone cameras.
dc.description.degreeM.S.
dc.identifier.urihttp://hdl.handle.net/10125/100928
dc.languageeng
dc.publisherUniversity of Hawaii at Manoa
dc.relationTheses for the degree of Master of Science (University of Hawaii at Manoa). Mechanical Engineering.
dc.subjectsynchronization
dc.subjectinertial measurement unit
dc.subjectstandalone camera system
dc.titleSynchronization of an inertial measurement unit and standalone camera system based on attitude and optical flow data
dc.typeThesis
dc.type.dcmiText

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