An implementation of the Pathspace Kalman Filter Algorithm as described in C. Agrahar et al. 2024 The Kalman Filter (KF) is an optimal linear state prediction algorithm, with applications in fields as ...
Abstract: The algorithm of the discrete extended Kalman filter as part of the relay-vector control system was developed for the purpose of identifying the speed and vector of flux coupling of the ...
The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model (GMM) is a critical nonlinear non-Gaussian filter for data fusion of global navigation satellite system/strapdown ...
Abstract: Aiming at the problem that Ultra Wide Band (UWB)devices are susceptible to environmental interference and localization errors, this paper firstly uses Kalman filter to process the ranging ...
Tactile sensing represents a valuable source of information in robotics for perception of the state of objects and their properties. Modern soft tactile sensors allow perceiving orthogonal forces and, ...
An illustration of a magnifying glass. An illustration of a magnifying glass.
If you program using values that represent anything in the real world, you have probably at least heard of the Kalman filter. The filter allows you to take multiple value estimates and process them ...
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