Nonlinear Bayesian state estimation: A review of recent developments
Online estimation of the internal states is a perquisite for monitoring, control, and fault
diagnosis of many engineering processes. A cost effective approach to monitor these …
diagnosis of many engineering processes. A cost effective approach to monitor these …
Using inertial sensors for position and orientation estimation
In recent years, MEMS inertial sensors (3D accelerometers and 3D gyroscopes) have
become widely available due to their small size and low cost. Inertial sensor measurements …
become widely available due to their small size and low cost. Inertial sensor measurements …
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 filtering with state constraints: a survey of linear and nonlinear algorithms
D Simon - IET Control Theory & Applications, 2010 - IET
The Kalman filter is the minimum-variance state estimator for linear dynamic systems with
Gaussian noise. Even if the noise is non-Gaussian, the Kalman filter is the best linear …
Gaussian noise. Even if the noise is non-Gaussian, the Kalman filter is the best linear …
Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration
J Kelly, GS Sukhatme - The International Journal of Robotics …, 2011 - journals.sagepub.com
Visual and inertial sensors, in combination, are able to provide accurate motion estimates
and are well suited for use in many robot navigation tasks. However, correct data fusion, and …
and are well suited for use in many robot navigation tasks. However, correct data fusion, and …
Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol
In this paper, the set-membership filtering problem is investigated for a class of piecewise
linear systems with state constraintsand censored measurements under the Round-Robin …
linear systems with state constraintsand censored measurements under the Round-Robin …
Improved LiDAR localization method for mobile robots based on multi-sensing
Y Liu, C Wang, H Wu, Y Wei, M Ren, C Zhao - Remote Sensing, 2022 - mdpi.com
In this paper, we propose a localization method applicable to 3D LiDAR by improving the
LiDAR localization algorithm, such as AMCL (Adaptive Monte Carlo Localization). The …
LiDAR localization algorithm, such as AMCL (Adaptive Monte Carlo Localization). The …
Constrained nonlinear state estimation based on the UKF approach
S Kolås, BA Foss, TS Schei - Computers & Chemical Engineering, 2009 - Elsevier
In this paper we investigate the use of an alternative to the extended Kalman filter (EKF), the
unscented Kalman filter (UKF). First we give a broad overview of different UKF algorithms …
unscented Kalman filter (UKF). First we give a broad overview of different UKF algorithms …
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy
observations. The theory of compressed sensing (CS) requires solving a convex constrained …
observations. The theory of compressed sensing (CS) requires solving a convex constrained …
Advanced tracking through efficient image processing and visual–inertial sensor fusion
G Bleser, D Stricker - Computers & Graphics, 2009 - Elsevier
This article presents a new visual–inertial tracking device for augmented and virtual reality
applications and addresses two fundamental issues of such systems. The first one concerns …
applications and addresses two fundamental issues of such systems. The first one concerns …