Abstract: In this study, a probabilistic adaptive filtering technique is described for the Extended Kalman filter (EKF) algorithm, which is used to estimate Low Earth Orbit (LEO) satellite position, ...
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 ...
# TrackerState class holds the state transition matrix (F) and measurement matrix (H) self.x_hat = torch.tensor([box[0] + box[2] / 2, box[1] + box[3] / 2, 0, 0, box[2 ...
Abstract: Addressing the limitations of conventional Unscented Kalman Filter (UKF) in terms of a paucity of online adaptive tuning capability, which leads to low accuracy and poor robustness during ...
Model Predictive Control (MPC) is a control strategy that has been widely adopted for the control of dynamical systems. The MPC approach is based on the solution of an optimization problem over a ...
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, ...
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