2019 International Conference on Robotics and Automation (ICRA) 2019
DOI: 10.1109/icra.2019.8793504
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Compensation of measurement noise and bias in geometric attitude estimation

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Cited by 1 publication
(3 citation statements)
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“…By using equation (23) to interpolate between the two solutions obtained from theorem 7, we obtain the solution to Wahba's problem. The interpolation parameter x is chosen to be 2 2 /(1 2 + 2 2 ) = 0.8, as the rms noise of the two vector measurements have a ratio of 2.…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…By using equation (23) to interpolate between the two solutions obtained from theorem 7, we obtain the solution to Wahba's problem. The interpolation parameter x is chosen to be 2 2 /(1 2 + 2 2 ) = 0.8, as the rms noise of the two vector measurements have a ratio of 2.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Matlab simulations of full attitude estimation using two vector measurements. The left figure shows the results of applying Davenport's q-method and an appropriate geometric filter using (23). The figure on the right shows that the two solutions are equal upto machine precision.…”
Section: Simulation Resultsmentioning
confidence: 99%
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