2010
DOI: 10.1016/j.compeleceng.2010.05.007
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Gravitational pose estimation

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Cited by 3 publications
(2 citation statements)
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“…The percentage correct degrades to 96%, which is due to the less accurate relative position increasing the likelihood that random noise is as likely as the correct matching. In this test, softPOSIT did not perform well due to its sensitivity to the initial pose (Ugurdag et al., ), whereas our algorithm primarily utilizes the shape of the projected markers, rather than the position in the frame.…”
Section: Multivehicle Relative Navigationmentioning
confidence: 99%
See 1 more Smart Citation
“…The percentage correct degrades to 96%, which is due to the less accurate relative position increasing the likelihood that random noise is as likely as the correct matching. In this test, softPOSIT did not perform well due to its sensitivity to the initial pose (Ugurdag et al., ), whereas our algorithm primarily utilizes the shape of the projected markers, rather than the position in the frame.…”
Section: Multivehicle Relative Navigationmentioning
confidence: 99%
“…Pose estimation algorithms can also find correspondence by iteratively calculating the pose with different assignments. A common example is softPOSIT (David, Dementhon, Duraiswami, & Samet, ), of which variations are regarded as state‐of‐the‐art (Ugurdag, Gören, & Canbay, ). The downside, however, is sensitivity to the initial guess and the computational expense as more correspondence hypotheses are explored.…”
Section: Introductionmentioning
confidence: 99%