The unscented Kalman filter for nonlinear estimation
EA Wan, R Van Der Merwe - Proceedings of the IEEE 2000 …, 2000 - ieeexplore.ieee.org
This paper points out the flaws in using the extended Kalman filter (EKE) and introduces an
improvement, the unscented Kalman filter (UKF), proposed by Julier and Uhlman (1997). A …
improvement, the unscented Kalman filter (UKF), proposed by Julier and Uhlman (1997). A …
Frequency and distribution of chest radiographic findings in patients positive for COVID-19
…, JCY Lee, KWH Chiu, TWH Chung, EYP Lee, EYF Wan… - Radiology, 2020 - pubs.rsna.org
Background Current coronavirus disease 2019 (COVID-19) radiologic literature is dominated
by CT, and a detailed description of chest radiography appearances in relation to the …
by CT, and a detailed description of chest radiography appearances in relation to the …
The square-root unscented Kalman filter for state and parameter-estimation
R Van Der Merwe, EA Wan - 2001 IEEE international …, 2001 - ieeexplore.ieee.org
Over the last 20-30 years, the extended Kalman filter (EKF) has become the algorithm of
choice in numerous nonlinear estimation and machine learning applications. These include …
choice in numerous nonlinear estimation and machine learning applications. These include …
The unscented particle filter
In this paper, we propose a new particle filter based on sequential importance sampling.
The algorithm uses a bank of unscented fil (cid: 173) ters to obtain the importance proposal …
The algorithm uses a bank of unscented fil (cid: 173) ters to obtain the importance proposal …
[HTML][HTML] Depression and anxiety in Hong Kong during COVID-19
It has been three months since the first confirmed case of coronavirus disease 2019 (COVID-19)
in Hong Kong, and people now have a more complete picture of the extent of the …
in Hong Kong, and people now have a more complete picture of the extent of the …
The unscented Kalman filter
EA Wan, R Van Der Merwe - Kalman filtering and neural …, 2001 - Wiley Online Library
This chapter discusses the underlying assumptions and flaws in the EKF, and presents an
alternative filter with performance superior to that of the EKF: the unscented Kalman filter (UKF)…
alternative filter with performance superior to that of the EKF: the unscented Kalman filter (UKF)…
Bell's palsy following vaccination with mRNA (BNT162b2) and inactivated (CoronaVac) SARS-CoV-2 vaccines: a case series and nested case-control study
Background Bell's palsy is a rare adverse event reported in clinical trials of COVID-19
vaccines. However, to our knowledge no population-based study has assessed the association …
vaccines. However, to our knowledge no population-based study has assessed the association …
RSSI-based indoor localization and tracking using sigma-point Kalman smoothers
Solutions for indoor tracking and localization have become more critical with recent
advancement in context and location-aware technologies. The accuracy of explicit positioning …
advancement in context and location-aware technologies. The accuracy of explicit positioning …
Neural network classification: A Bayesian interpretation
EA Wan - IEEE Transactions on Neural Networks, 1990 - ieeexplore.ieee.org
The relationship between minimizing a mean squared error and finding the optimal Bayesian
classifier is reviewed. This provides a theoretical interpretation for the process by which …
classifier is reviewed. This provides a theoretical interpretation for the process by which …
Sigma-point Kalman filters for integrated navigation
Core to integrated navigation systems is the concept of fusing noisy observations from GPS,
Inertial Measurement Units (IMU), and other available sensors. The current industry …
Inertial Measurement Units (IMU), and other available sensors. The current industry …