Results 101 to 110 of about 24,887 (253)
Invariant Extended Kalman Filter for Measurements on Lie Groups
, 2021 Since its creation, the extended Kalman filter (EKF) has become an industry standard for state estimation. However, the EKF is designed for Euclidean spaces, which causes challenges when adapting it to non-Euclidean spaces such as Lie groups, which includes 3D attitude.
openaire +1 more source
Ensemble Kalman filter in latent space using a variational autoencoder pair
Quarterly Journal of the Royal Meteorological Society, EarlyView.The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
Nonlinear Attitude Filtering: A Comparison Study [PDF]
, 2015 This paper contains a concise comparison of a number of nonlinear attitude filtering methods that have attracted attention in the robotics and aviation literature.
Mahony, R., Trumpf, J., Zamani, M.
core +1 more source
Data assimilation with extremum Monte Carlo methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley +1 more source
Invariant EKF for Map-Aided Localization Using the Raw 3D Lidar Scan Points Directly
IEEE AccessMap-aided localization using 3D lidar scan points is an essential and fundamental technology in the field of Intelligent Vehicles (IVs) research, which can estimate the position and orientation of the vehicle in an environment where the Global Navigation
Zhongxing Tao +3 more
doaj +1 more source
A pilot variational coupled reanalysis based on the CESAM climate model
Quarterly Journal of the Royal Meteorological Society, EarlyView.Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl +6 more
wiley +1 more source
Real-Time Market Abuse Detection with a Stochastic Parameter Model [PDF]
This paper develops a new model of market abuse detection in real time. Market abuse is detected, as Minenna (2003) proposed, on the basis of prediction intervals.
Radosław Cholewiński
core
Quarterly Journal of the Royal Meteorological Society, EarlyView.Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg +5 more
wiley +1 more source
Legged Robot State Estimation in Slippery Environments Using Invariant Extended Kalman Filter with Velocity Update [PDF]
, 2021 Sangli Teng +2 more
openalex +1 more source
Modern control concepts in hydrology [PDF]
Two approaches to an identification problem in hydrology are presented based upon concepts from modern control and estimation theory. The first approach treats the identification of unknown parameters in a hydrologic system subject to noisy inputs as an ...
Duong, N., Johnson, G. R., Winn, C. B.
core +1 more source