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dc.contributor.advisorKaminer, Isaac I.
dc.contributor.authorQuek, Chin Khoon.
dc.date.accessioned2012-03-14T17:33:10Z
dc.date.available2012-03-14T17:33:10Z
dc.date.issued2005-12
dc.identifier.urihttp://hdl.handle.net/10945/1815
dc.description.abstractIn the tracking of a moving ground target by small unmanned air vehicle (UAV) via camera vision, the target position and motion cannot be measured directly. Two different types of filters were assessed for their ability to estimate target motion, namely target velocity, directional heading on flat ground and distance from the UAV to target. The first filter is a nonlinear deterministic filter with stability guarantee. The second filter is based on nonlinear Kalman Filter technique. The application and performance of these two filters are presented, for simulated vision based target tracking.en_US
dc.format.extentxiv, 41 p. ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsApproved for public release, distribution unlimiteden_US
dc.subject.lcshCamerasen_US
dc.subject.lcshDrone aircraften_US
dc.subject.lcshMathematicsen_US
dc.subject.lcshMechanical engineeringen_US
dc.titleVision based control and target range estimation for small unmanned aerial vehicleen_US
dc.typeThesisen_US
dc.contributor.secondreaderDobrokhodov, Vladimir N.
dc.contributor.corporateNaval Postgraduate School (U.S.).
dc.contributor.departmentDepartment of Mechanical and Astronautical Engineering
dc.identifier.oclc63112169
etd.thesisdegree.nameM.S. in Engineering Science (Mechanical Engineering)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineEngineering Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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