Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3153705
Abstract: Estimation of a dynamical system’s latent state subject to sensor noise and model inaccuracies remains a critical yet difficult problem in robotics. While Kalman filters provide the optimal solution in the least squared sense for… read more here.
Keywords: stein particle; state; non gaussian; particle filter ... See more keywords