[HTML][HTML] Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond
Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …
devoted to time series state space models for a large variety of dynamic estimation …
Kalman filter-based data fusion of Wi-Fi RTT and PDR for indoor localization
The Fine Time Measurement (FTM) protocol introduced by IEEE 802.11 includes a new
ranging method, named Wi-Fi Round Trip Time (Wi-Fi RTT), which can be used for indoor …
ranging method, named Wi-Fi Round Trip Time (Wi-Fi RTT), which can be used for indoor …
PMBM-based SLAM filters in 5G mmWave vehicular networks
Radio-based vehicular simultaneous localization and mapping (SLAM) aims to localize
vehicles while mapping the landmarks in the environment. We propose a sequence of three …
vehicles while mapping the landmarks in the environment. We propose a sequence of three …
Improved cubature Kalman filter for GNSS/INS based on transformation of posterior sigma-points error
B Cui, X Chen, X Tang - IEEE Transactions on Signal …, 2017 - ieeexplore.ieee.org
Tightly coupled GNSS/INS has been widely approved as a promising substitute for
standalone GNSS in urban areas navigation. However, due to the frequent GNSS signal …
standalone GNSS in urban areas navigation. However, due to the frequent GNSS signal …
[HTML][HTML] Automatic generation and updating of process industrial digital twins for estimation and control-A review
This review aims at assessing the opportunities and challenges of creating and using digital
twins for process industrial systems over their life-cycle in the context of estimation and …
twins for process industrial systems over their life-cycle in the context of estimation and …
Trajectory PHD and CPHD filters
ÁF García-Fernández… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents the probability hypothesis density filter (PHD) and the cardinality PHD
(CPHD) filter for sets of trajectories, which are referred to as the trajectory PHD (TPHD) and …
(CPHD) filter for sets of trajectories, which are referred to as the trajectory PHD (TPHD) and …
A computationally efficient EK-PMBM filter for bistatic mmWave radio SLAM
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping
(SLAM), due to their inherent geometric connection to the propagation environment and the …
(SLAM), due to their inherent geometric connection to the propagation environment and the …
[HTML][HTML] Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
We formulate probabilistic numerical approximations to solutions of ordinary differential
equations (ODEs) as problems in Gaussian process (GP) regression with nonlinear …
equations (ODEs) as problems in Gaussian process (GP) regression with nonlinear …
On sigma-point update of cubature Kalman filter for GNSS/INS under GNSS-challenged environment
B Cui, X Wei, X Chen, J Li, L Li - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The sampling-based Kalman filters have been widely used for GNSS/INS of land vehicle
navigation. Although many nonlinear filters are proposed by employing different …
navigation. Although many nonlinear filters are proposed by employing different …
A Multi-Hypotheses Importance Density for SLAM in Cluttered Scenarios
One of the most fundamental problems in simultaneous localization and mapping (SLAM) is
the ability to take into account data association (DA) uncertainties. In this article, this problem …
the ability to take into account data association (DA) uncertainties. In this article, this problem …