Results 21 to 30 of about 8,181 (194)
IET Signal Processing, 2021 One of the current ways to continue space research is to launch ballistic rockets that carry scientific payloads. To improve the accuracy of the instantaneous evolution of the payload impact on the Earths surface, it is necessary to estimate indirect ...
Jose Abreu +2 more
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Unscented Particle Filter for Online Total Image Jacobian Matrix Estimation in Robot Visual Servoing
IEEE Access, 2019 The main purpose of visual servoing is to control the motion of a robot system based on visual information provided by one or more cameras. It is an important research topic in the robotics community.
Fasheng Wang +4 more
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Statistical Modelling of Cell Movement [PDF]
, 2017 In this paper we demonstrate an application of the unscented Kalman filter in the context of cell movement, using a model defined in terms of stochastic differential equations (SDEs)
Giurghita, Diana, Husmeier, Dirk
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Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters [PDF]
, 2010 Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided with a fast and reliable tracking system that localizes people in the neighbourhood ...
A. Tapus +14 more
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A bank of unscented Kalman filters for multimodal human perception with mobile service robots [PDF]
, 2010 A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people.
AK Jain +22 more
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Memory Unscented Particle Filter for 6-DOF Tactile Localization [PDF]
IEEE Transactions on Robotics, 2017 This paper addresses 6-DOF (degree-of-freedom) tactile localization, i.e. the pose estimation of tridimensional objects given tactile measurements. This estimation problem is fundamental for the operation of autonomous robots that are often required to manipulate and grasp objects whose pose is a-priori unknown.
Giulia Vezzani +4 more
openaire +2 more sources
Semi-independent resampling for particle filtering [PDF]
, 2017 Among Sequential Monte Carlo (SMC) methods,Sampling Importance Resampling (SIR) algorithms are based on Importance Sampling (IS) and on some resampling-based)rejuvenation algorithm which aims at fighting against weight degeneracy.
Desbouvries, François +3 more
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RAM target tracking based on improved SR-UPF algorithm [PDF]
Zhihui kongzhi yu fangzhenRAM target has complex motion, which puts forward higher requirements for tracking system. Aiming at particle degradation and other problems existing in the process of particle filter solving RAM target tracking, this paper calculates the posterior ...
ZHANG Han, ZHANG Xun, LIANG Shen
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Sigma Point Belief Propagation
, 2013 The sigma point (SP) filter, also known as unscented Kalman filter, is an attractive alternative to the extended Kalman filter and the particle filter. Here, we extend the SP filter to nonsequential Bayesian inference corresponding to loopy factor graphs.
Hlawatsch, Franz +2 more
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The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems
, 2015 Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette +4 more
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