Results 51 to 60 of about 7,374 (201)
Inference in Nonlinear Systems with Unscented Kalman Filters [PDF]
, 2016 An increasing number of scientific disciplines, most notably the life sciences and health care, have become more quantitative, describing complex systems with coupled nonlinear di↵erential equations.
Giurghita, Diana, Husmeier, Dirk
core
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty
, 2018 In outdoor environments, mobile robots are required to navigate through terrain with varying characteristics, some of which might significantly affect the integrity of the platform.
A Wilson +6 more
core +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.Maintaining power quality (PQ) and minimizing carbon emissions are crucial for sustainable smart grids, especially with increasing renewable energy integration. This paper proposes a novel method combining Adaptive Q‐Wavelet Transform (AQWT) and Kalman Filtering (KF) to predict PQ disturbances and faults while analyzing their impact on carbon emissions.
Abhishek Raj +9 more
wiley +1 more source
Non-linear Kalman filters for calibration in radio interferometry
, 2014 We present a new calibration scheme based on a non-linear version of Kalman filter that aims at estimating the physical terms appearing in the Radio Interferometry Measurement Equation (RIME).
Tasse, Cyril
core +3 more sources
Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Advanced Electromagnetics, 2012 This paper deals with the advanced integration of uncertainties in electromagnetic interferences (EMI) and electromagnetic compatibility (EMC) problems.
S. Lalléchère +3 more
doaj +1 more source
Statistical Inference in the Duffing System with the Unscented Kalman Filter [PDF]
, 2017 We investigate the accuracy of inference in a chaotic dynamical sys- tem (Duffing oscillator) with the Unscented Kalman Filter, and quantify the dependence on the sample size, the signal to noise ratio and the ...
Husmeier, Dirk +3 more
core
Multi-Object Tracking with Interacting Vehicles and Road Map Information
, 2018 In many applications, tracking of multiple objects is crucial for a perception of the current environment. Most of the present multi-object tracking algorithms assume that objects move independently regarding other dynamic objects as well as the static ...
Danzer, Andreas +2 more
core +1 more source
Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya +2 more
wiley +1 more source
On Approximate Nonlinear Gaussian Message Passing On Factor Graphs
, 2019 Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control. One capability that does not seem to be well explored within the factor graph tool
Hoffmann, Christian +2 more
core +1 more source