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Research on Motion Trajectory Correction Method for Wall-Climbing Robots Based on External Visual Localization System. [PDF]

Sensors (Basel)
Ru H, Sheng M, Gao F, Li Z, Qi J, Cheng L, Su K, Zhang J, Xiao J.   +8 more
europepmc   +1 more source

Enhanced projectile path estimation using multi-vehicle FMCW radar sensors. [PDF]

Sci Rep
Salama AA, Hussein MA.
europepmc   +1 more source

Real time dynamic adhesion coefficient estimation and BP neural network optimized lateral stability control for distributed drive electric vehicles. [PDF]

Sci Rep
Zhou Z, Yang R, Xu F, Shen W.
europepmc   +1 more source

Multimodal medical image reconstruction and organ-wise disease classification using a hybrid deep learning-Kalman filtering framework. [PDF]

Front Med (Lausanne)
Arif S.
europepmc   +1 more source

On how the distributed Kalman filter is related to the federated Kalman filter

2014 IEEE Aerospace Conference, 2014
In this paper, a direct connection between the covariance debiasing methodology for the distributed Kalman (DKF) filter in [1] and the federated Kalman filter is shown. In particular, it can be seen that for a unique choice of the information gain hypothesis of the DKF, the covariance debiasing becomes equivalent to the federated Kalman filter.
Felix Govaers, Alexander Charlish, Wolfgang Koch   +2 more
openaire   +2 more sources

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A distributed maximum correntropy Kalman filter

Signal Processing, 2019
Abstract Most distributed Kalman filters are based on the cost function of the well-known minimum mean square estimation criterion, which performs well in the presence of Gaussian noise. When impulsive noise is involved, the performance of distributed Kalman filters may become worse.
Gang Wang, Rui Xue, Jinxin Wang
exaly   +2 more sources