Results 71 to 80 of about 9,303 (171)
Comparison of Nonlinear Filtering Techniques for Lunar Surface Roving Navigation [PDF]
Leading up to the Apollo missions the Extended Kalman Filter, a modified version of the Kalman Filter, was developed to estimate the state of a nonlinear system.
Kimber, Lemon, Welch, Bryan W.
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Sequential Bayesian inference for static parameters in dynamic state space models [PDF]
, 2017 A method for sequential Bayesian inference of the static parameters of a dynamic state space model is proposed. The method is based on the observation that many dynamic state space models have a relatively small number of static parameters (or hyper ...
Bhattacharya, Arnab, Wilson, Simon
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Robust Gaussian Filtering using a Pseudo Measurement
, 2016 Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette +6 more
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Intracranial pressure estimation using nonlinear Kalman filtering [PDF]
, 2017 The intracranial hypertension is the medical name for high intracranial pressure, a condition that can be dangerous for the patient's health. This increase of intracranial pressure (ICP) may be caused by a congenital or acquired pathology (i.e.
París Bandrés, Guillem Lluís
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Online Discrimination of Nonlinear Dynamics with Switching Differential Equations
, 2012 How to recognise whether an observed person walks or runs? We consider a dynamic environment where observations (e.g. the posture of a person) are caused by different dynamic processes (walking or running) which are active one at a time and which may ...
Bitzer, Sebastian +2 more
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Air pollutant emission and prediction with extended kalman filtering [PDF]
, 2016 University of Technology Sydney. Faculty of Engineering and Information Technology.The major sources of air pollutants in New South Wales (NSW is a state on the east coast of Australia) are anthropogenic emissions and biomass burning emissions ...
Metia, Santanu
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IEEE Access, 2019 Unscented Kalman filter (UKF) is one type of the sigma point Kalman filters and it is based on unscented transformation. UKF is used for parameter estimation of various dynamic systems and for such purpose either joint UKF (JUKF) or dual UKF (DUKF ...
Altan Onat
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A Multi-Sensor Fusion Underwater Localization Method Based on Unscented Kalman Filter on Manifolds
SensorsIn recent years, the simplified computation of position and velocity changes in nonlinear systems using Lie groups and Lie algebra has been widely used in the study of robot localization systems.
Yang Wang +4 more
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Road Adhesion Coefficient Estimation Method for Distributed Drive Electric Vehicles Based on SR-UKF
VehiclesTo improve recognition accuracy, convergence speed, and numerical stability in estimating the road adhesion coefficient for distributed-drive electric vehicles, a nonlinear seven-degree-of-freedom vehicle dynamics model was developed based on a modified ...
Jinhui Li, Xinyu Wei, Hui Peng
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