Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond
Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …
devoted to time series state space models for a large variety of dynamic estimation …
Constrained State Estimation--A Review
N Amor, G Rasool, NC Bouaynaya - ar** (SLAM) is the crucial prerequisite for mobile robots
to accomplish autonomy. In this paper, PSO-UFastSLAM based on the unscented-FastSLAM …
to accomplish autonomy. In this paper, PSO-UFastSLAM based on the unscented-FastSLAM …
[PDF][PDF] LRKF Revisited-The Smart Sampling Kalman Filter (S²KF)
We consider estimating the hidden state of a discretetime stochastic nonlinear dynamic
system based on noisy measurements through Bayesian inference. This is an important …
system based on noisy measurements through Bayesian inference. This is an important …