Analysis and Modeling of Inertial Sensors Using Allan Variance
By Naser El-Sheimy, H. Hou, X. Niu. IEEE Transactions on Instrumentation and Measurement, 2008
838 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/76ef7150505bbcedf445ae458f2f9002f0d9fa2b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Marco Hutter
- Roland Yves Siegwart
- Stefan Leutenegger
- Péter Fankhauser
- Davide Scaramuzza
- Guoquan Huang
- Andrew J. Davison
- Daniel Cremers
In Artificial Intelligence
Citations in the corpus
- State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU (2012, methodology): “Following the paper of El-Sheimy et al. [5], they can be evaluated by examining the measured Allan variances.”
- Using Inertial Sensors for Position and Orientation Estimation (2017, neutral): “The performance of IMUs is often specified in terms of their Allan variance [63, 33, 2].”
- State estimation for legged robots on unstable and slippery terrain (2013, background): “The covariance parameters can be identified by considering the Allan plots of the IMU measurements [3].”