000007920 001__ 7920
000007920 005__ 20250424233305.0
000007920 0247_ $$2DOI$$a10.6083/M4MP51JS
000007920 037__ $$aETD
000007920 245__ $$aVision based bayesian state estimation of unmanned aerial vehicles: a preliminary study
000007920 260__ $$bOregon Health and Science University
000007920 269__ $$a2003-06-01
000007920 336__ $$aThesis
000007920 502__ $$bM.S.
000007920 520__ $$aThe goal of  this study was to  arrive at a method to  estimate the physical  state of  a scaled helicopter model  using images taken from a stationary camera on the ground. The state would  consist of  the  [XYZ]  coordinates and  orientation of  the helicopter in  space. The end was  achieved by  using the Direct Linear Transform to calibrate the given camera and obtain the transformation matrices and camera calibration parameters
000007920 542__ $$aIn copyright - single owner
000007920 650__ $$aAircraft$$014382
000007920 650__ $$aUnmanned Aerial Devices$$013624
000007920 650__ $$aBayes Theorem$$015392
000007920 691__ $$aOGI School of Science and Engineering$$041365
000007920 692__ $$aOGI Department of Electrical and Computer Engineering$$041409
000007920 7001_ $$aNanjappa, Pradeep$$uOregon Health and Science University$$041354
000007920 7201_ $$aXubo, Song$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000007920 8564_ $$96fe3dfa9-c4ab-44f5-9409-54cbf98d9a6f$$s6225502$$uhttps://digitalcollections.ohsu.edu/record/7920/files/200306.nanjappa.pradeep.pdf$$ePublic$$2ff9a782bd5b9123d7a1df0bcf53c2304$$31
000007920 905__ $$a/rest/prod/tx/31/qj/38/tx31qj380
000007920 909CO $$ooai:digitalcollections.ohsu.edu:7920$$pstudent-work
000007920 980__ $$aTheses and Dissertations