TY  - THES
AB  - The 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
AD  - Oregon Health and Science University
AU  - Nanjappa, Pradeep
DA  - 2003-06-01
DO  - 10.6083/M4MP51JS
DO  - DOI
ED  - Xubo, Song
ED  - Advisor
ID  - 7920
KW  - Aircraft
KW  - Unmanned Aerial Devices
KW  - Bayes Theorem
L1  - https://digitalcollections.ohsu.edu/record/7920/files/200306.nanjappa.pradeep.pdf
L2  - https://digitalcollections.ohsu.edu/record/7920/files/200306.nanjappa.pradeep.pdf
L4  - https://digitalcollections.ohsu.edu/record/7920/files/200306.nanjappa.pradeep.pdf
LK  - https://digitalcollections.ohsu.edu/record/7920/files/200306.nanjappa.pradeep.pdf
N2  - The 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
PB  - Oregon Health and Science University
PY  - 2003-06-01
T1  - Vision based bayesian state estimation of unmanned aerial vehicles: a preliminary study
TI  - Vision based bayesian state estimation of unmanned aerial vehicles: a preliminary study
UR  - https://digitalcollections.ohsu.edu/record/7920/files/200306.nanjappa.pradeep.pdf
Y1  - 2003-06-01
ER  -