Results 21 to 30 of about 15,890,225 (198)

A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks

open access: yesSensors, 2015
This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion.
Yanming Chen, Qingjie Zhao
doaj   +2 more sources

Sideslip Angle Fusion Estimation Method of an Autonomous Electric Vehicle Based on Robust Cubature Kalman Filter with Redundant Measurement Information

open access: yesWorld Electric Vehicle Journal, 2019
Accurate and reliable estimation information of sideslip angle is very important for intelligent motion control and active safety control of an autonomous vehicle.
Te Chen   +5 more
doaj   +2 more sources

A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization [PDF]

open access: yesSensors
In the complex underwater environment, it is hard to obtain accurate system noise prior information. If uncertainty system noise model is used in state determination, the precision will decrease.
Haoqian Huang   +3 more
doaj   +2 more sources

An Adaptive Spherical Simplex Radial Cubature Information Filter-Based Phase Unwrapping Method

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
An adaptive spherical simplex radial cubature information filter-based phase unwrapping (ASSRCIFPU) method is introduced. First, the ASSRCIF method with adaptive adjustment of observation noise variance is introduced within the phase unwrapping for ...
Jia Jinguo   +3 more
doaj   +2 more sources

Distributed Cubature Information Filtering Method for State Estimation in Bearing-Only Sensor Network. [PDF]

open access: yesEntropy (Basel)
The problem of state estimation based on bearing-only sensors is increasingly important while existing research on distributed filtering solutions is rather limited. Therefore, this paper proposed the novel distributed cubature information filtering (DCIF) method for addressing the state estimation challenge in bearing-only sensor networks.
Chen Z, Fu W, Zhang R, Fang Y, Xiao Z.
europepmc   +4 more sources

Cubature H-∞ Information Filter and its Extension

open access: yes, 2016
State estimation for nonlinear systems with Gaussian or non-Gaussian noises, and with single and multiple sensors, is presented. The key purpose is to propose a derivative free estimator using concepts from the information filter, the H∞H∞ filter, and ...
Da-Wei Gu (2702398)   +2 more
core   +7 more sources

An Adaptive Filter for Nonlinear Multi-Sensor Systems with Heavy-Tailed Noise

open access: yesSensors, 2020
Aiming towards state estimation and information fusion for nonlinear systems with heavy-tailed measurement noise, a variational Bayesian Student’s t-based cubature information filter (VBST-CIF) is designed.
Xiangxiang Dong, Luigi Chisci, Yunze Cai
doaj   +1 more source

RCKF Cooperative Navigation Algorithm for Tightly Coupled Vehicle Ad Hoc Networks Based on Huber M Estimation

open access: yesIEEE Access, 2021
As a core technology of cooperative navigation, relative position sensing is crucial for vehicle intelligent driving. It plays a key role in the cooperative positioning algorithm of vehicle ad hoc networks (VANETs).
Wei Sun, Jingzhou Liu
doaj   +1 more source

Robust Cubature Kalman Filter for SINS/GPS Integrated Navigation Systems With Unknown Noise Statistics

open access: yesIEEE Access, 2021
to the vehicle's severe maneuver and abnormal measurements of GPS in practical applications, the statistic of process noise in SINS/GPS integrated navigation system may be unknown and the measurement noise may not follow the Gaussian distribution, which ...
Kaiqiang Feng   +4 more
doaj   +1 more source

Attitude and Heading Estimation for Indoor Positioning Based on the Adaptive Cubature Kalman Filter

open access: yesMicromachines, 2021
The demands for indoor positioning in location-based services (LBS) and applications grow rapidly. It is beneficial for indoor positioning to combine attitude and heading information.
Jijun Geng, Linyuan Xia, Dongjin Wu
doaj   +1 more source

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