Results 21 to 30 of about 1,310 (144)
Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 more
doaj +1 more source
On the vehicle sideslip angle estimation: a literature review of methods, models and innovations [PDF]
, 2018 Typical active safety systems controlling the dynamics of passenger cars rely on real-time monitoring of the vehicle sideslip angle (VSA), together with other signals like wheel angular velocities, steering angle, lateral acceleration, and the rate of ...
Bao +19 more
core +2 more sources
A Probabilistic Perspective on Gaussian Filtering and Smoothing
, 2010 We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of computing/approximating the means and ...
Deisenroth, MP, Ohlsson, H
core +1 more source
International Journal of Distributed Sensor Networks, 2017 The problem of maneuvering target tracking is a hot issue in the field of target tracking. Due to the range rate measurement containing the maneuvering information of target, it has the important practical significance to study how to use the range rate ...
Hongqiang Liu +2 more
doaj +1 more source
IEEE Access, 2019 Accurate and reliable vehicle state estimation results are very significant to the active safety, energy optimization, and the intelligent control of vehicles.
Te Chen +5 more
doaj +1 more source
Sigma Point Filters For Dynamic Nonlinear Regime Switching Models [PDF]
, 2015 In this paper we take three well known Sigma Point Filters, namely the Unscented Kalman Filter, the Divided Difference Filter, and the Cubature Kalman Filter, and extend them to allow for a very general class of dynamic nonlinear regime switching models.
Binning, Andrew, Maih, Junior
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Sensor Fusion with Square-Root Cubature Information Filtering
Intelligent Control and Automation, 2013 This paper derives a square-root information-type filtering algorithm for nonlinear multi-sensor fusion problems using the cubature Kalman filter theory. The resulting filter is called the square-root cubature Information filter (SCIF). The SCIF propagates the square-root information matrices derived from numerically stable matrix operations and is ...
openaire +2 more sources
Comparison of sigma-point filters for state estimation of diabetes models [PDF]
, 2014 In physiological control there is a need to esti- mate signals that cannot be measured directly. Burdened by measurement noise and unknown disturbances this proves to be challenging, since the models are usually highly nonlinear. Sigma- point filters
Benyó, Z. +4 more
core +1 more source
An Effective and Robust Decentralized Target Tracking Scheme in Wireless Camera Sensor Networks
Sensors, 2017 In this paper, we propose an effective and robust decentralized tracking scheme based on the square root cubature information filter (SRCIF) to balance the energy consumption and tracking accuracy in wireless camera sensor networks (WCNs).
Pengcheng Fu +5 more
doaj +1 more source
Needatool: A Needlet Analysis Tool for Cosmological Data Processing
, 2010 We introduce NeedATool (Needlet Analysis Tool), a software for data analysis based on needlets, a wavelet rendition which is powerful for the analysis of fields defined on a sphere.
Amedeo Balbi +35 more
core +1 more source